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Author SHA1 Message Date
v6ole acff263dba chore: 从 git 跟踪中移除日志文件、onu.md 和 __pycache__
- 移除 logs/ 目录下的日志文件
- 移除 onu.md 生成文件
- 移除所有 __pycache__/ 目录
- 更新 .gitignore 防止再次提交
2026-05-09 15:03:40 +08:00
v6ole 04b78497b9 chore: 从 git 跟踪中移除含敏感信息的 config.yaml
将 config.yaml 添加到 .gitignore,并从 git 跟踪中移除。
配置现已通过 .env 环境变量管理,密码/token/AES key 不再提交到仓库。
2026-05-09 15:02:52 +08:00
v6ole 7455d7e426 chore: ruff 代码检查与修复
130 issues auto-fixed (import ordering, UP045/UP006 type annotations),
33 issues manually fixed (E712/E501/E402/E722 + N818 rename + per-file
wechat ignore for N8xx naming conventions). All 33 tests pass.
2026-05-09 14:28:09 +08:00
v6ole 02ea794015 feat: 添加 Docker 部署配置
通过 Dockerfile 和 docker-compose.yml 提供容器化部署方案。
2026-05-09 14:20:59 +08:00
v6ole a0a06dfd8c feat: 添加 API 路由(公告/爬取/微信回调/调度器)+ 健康检查测试 2026-05-09 14:19:11 +08:00
v6ole 3616e5799d feat: 添加 NotificationService 通知服务 + 测试 2026-05-09 14:11:49 +08:00
v6ole 52bb1f53cc feat: 迁移企业微信模块(crypto + client + handler) 2026-05-09 14:09:52 +08:00
v6ole 76b734b0a9 fix: 修复 filter_by_date 类型处理 + _save_to_db rowcount 0 值 bug 2026-05-09 14:06:59 +08:00
v6ole cad1390534 feat: 添加 PostCrawlPipeline 统一管道 + 筛选服务 + 测试 2026-05-09 13:57:37 +08:00
v6ole 022d348052 feat: 添加 CrawlService 爬取编排器 + 测试 2026-05-09 13:50:58 +08:00
v6ole 5e0582d499 feat: 添加 Dahuagov Spider(大化县政府网爬虫)+ 测试 2026-05-09 13:47:48 +08:00
v6ole b1bbf64287 feat: 添加 GXGP Spider(广西政府采购网爬虫)+ 测试 2026-05-09 13:44:45 +08:00
v6ole 7db14ee411 feat: 添加数据解析器模块 + 测试 2026-05-09 13:41:35 +08:00
v6ole d9af819d2e feat: 添加 Spider 基类 + Pipeline 配置 + 测试 2026-05-09 13:37:40 +08:00
v6ole a994dc5f53 feat: 添加 SQLAlchemy 模型 + Alembic 数据库迁移 2026-05-09 13:35:08 +08:00
v6ole 1cdd0bcab1 feat: 创建 FastAPI 项目骨架(config + main + 依赖管理) 2026-05-09 13:30:03 +08:00
v6ole 2324725c6f docs: 添加 FastAPI + Docker 迁移实施计划(15 个任务,TDD) 2026-05-09 13:06:32 +08:00
v6ole 8800d4b2b1 docs: 添加爬虫模块化设计(Spider 基类 + Pipeline 策略模式) 2026-05-09 12:52:48 +08:00
v6ole 79ef7c66af docs: 添加 FastAPI + Docker 迁移设计文档 2026-05-09 12:18:07 +08:00
91 changed files with 5990 additions and 129451 deletions
+30
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# 应用
DEBUG=false
LOG_LEVEL=INFO
# 数据库
DATABASE_URL=postgresql+asyncpg://gx-gp-notify:password@10.10.10.14:5432/gx-gp-notify
# 爬虫
CRAWLER_BASE_URL=https://zfcg.gxzf.gov.cn
CRAWLER_KEYWORDS=["大化"]
CRAWLER_MAX_PAGES=10
CRAWLER_TIMEOUT=30
# 企业微信
WECHAT_ENABLED=true
WECHAT_CORP_ID=ww69e8e44636f47780
WECHAT_AGENT_ID=1000007
WECHAT_SECRET=
WECHAT_TOKEN=
WECHAT_ENCODING_AES_KEY=
WECHAT_PORT=18001
WECHAT_HOST=0.0.0.0
# 定时任务
SCHEDULER_ENABLED=true
SCHEDULER_CRON=0 8,14,18 * * *
# Markdown
MARKDOWN_ENABLED=true
MARKDOWN_OUTPUT_FILE=onu.md
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.env
logs/
*.log
__pycache__/
*.pyc
.venv/
.ruff_cache/
.pytest_cache/
*.egg-info/
dist/
config.yaml
gx_gp_monitor/config/config.yaml
onu.md
Binary file not shown.
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# A generic, single database configuration.
[alembic]
# path to migration scripts.
# this is typically a path given in POSIX (e.g. forward slashes)
# format, relative to the token %(here)s which refers to the location of this
# ini file
script_location = %(here)s/alembic
# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
# Uncomment the line below if you want the files to be prepended with date and time
# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
# for all available tokens
# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
# Or organize into date-based subdirectories (requires recursive_version_locations = true)
# file_template = %%(year)d/%%(month).2d/%%(day).2d_%%(hour).2d%%(minute).2d_%%(second).2d_%%(rev)s_%%(slug)s
# sys.path path, will be prepended to sys.path if present.
# defaults to the current working directory. for multiple paths, the path separator
# is defined by "path_separator" below.
prepend_sys_path = .
# timezone to use when rendering the date within the migration file
# as well as the filename.
# If specified, requires the tzdata library which can be installed by adding
# `alembic[tz]` to the pip requirements.
# string value is passed to ZoneInfo()
# leave blank for localtime
# timezone =
# max length of characters to apply to the "slug" field
# truncate_slug_length = 40
# set to 'true' to run the environment during
# the 'revision' command, regardless of autogenerate
# revision_environment = false
# set to 'true' to allow .pyc and .pyo files without
# a source .py file to be detected as revisions in the
# versions/ directory
# sourceless = false
# version location specification; This defaults
# to <script_location>/versions. When using multiple version
# directories, initial revisions must be specified with --version-path.
# The path separator used here should be the separator specified by "path_separator"
# below.
# version_locations = %(here)s/bar:%(here)s/bat:%(here)s/alembic/versions
# path_separator; This indicates what character is used to split lists of file
# paths, including version_locations and prepend_sys_path within configparser
# files such as alembic.ini.
# The default rendered in new alembic.ini files is "os", which uses os.pathsep
# to provide os-dependent path splitting.
#
# Note that in order to support legacy alembic.ini files, this default does NOT
# take place if path_separator is not present in alembic.ini. If this
# option is omitted entirely, fallback logic is as follows:
#
# 1. Parsing of the version_locations option falls back to using the legacy
# "version_path_separator" key, which if absent then falls back to the legacy
# behavior of splitting on spaces and/or commas.
# 2. Parsing of the prepend_sys_path option falls back to the legacy
# behavior of splitting on spaces, commas, or colons.
#
# Valid values for path_separator are:
#
# path_separator = :
# path_separator = ;
# path_separator = space
# path_separator = newline
#
# Use os.pathsep. Default configuration used for new projects.
path_separator = os
# set to 'true' to search source files recursively
# in each "version_locations" directory
# new in Alembic version 1.10
# recursive_version_locations = false
# the output encoding used when revision files
# are written from script.py.mako
# output_encoding = utf-8
# database URL. This is consumed by the user-maintained env.py script only.
# other means of configuring database URLs may be customized within the env.py
# file.
sqlalchemy.url = driver://user:pass@localhost/dbname
[post_write_hooks]
# post_write_hooks defines scripts or Python functions that are run
# on newly generated revision scripts. See the documentation for further
# detail and examples
# format using "black" - use the console_scripts runner, against the "black" entrypoint
# hooks = black
# black.type = console_scripts
# black.entrypoint = black
# black.options = -l 79 REVISION_SCRIPT_FILENAME
# lint with attempts to fix using "ruff" - use the module runner, against the "ruff" module
# hooks = ruff
# ruff.type = module
# ruff.module = ruff
# ruff.options = check --fix REVISION_SCRIPT_FILENAME
# Alternatively, use the exec runner to execute a binary found on your PATH
# hooks = ruff
# ruff.type = exec
# ruff.executable = ruff
# ruff.options = check --fix REVISION_SCRIPT_FILENAME
# Logging configuration. This is also consumed by the user-maintained
# env.py script only.
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARNING
handlers = console
qualname =
[logger_sqlalchemy]
level = WARNING
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S
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Generic single-database configuration.
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from alembic import context
from sqlalchemy import engine_from_config, pool
from app.models.announcement import Base
config = context.config
target_metadata = Base.metadata
def run_migrations_offline():
from app.config import settings
url = settings.database_url
context.configure(url=url, target_metadata=target_metadata, literal_binds=True)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online():
from app.config import settings
connectable = engine_from_config(
{"sqlalchemy.url": settings.database_url},
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
context.configure(connection=connection, target_metadata=target_metadata)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()
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"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
${imports if imports else ""}
# revision identifiers, used by Alembic.
revision: str = ${repr(up_revision)}
down_revision: Union[str, Sequence[str], None] = ${repr(down_revision)}
branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
def upgrade() -> None:
"""Upgrade schema."""
${upgrades if upgrades else "pass"}
def downgrade() -> None:
"""Downgrade schema."""
${downgrades if downgrades else "pass"}
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"""create_announcements_table
Revision ID: 567cd83d63c2
Revises:
Create Date: 2026-05-09 13:33:26.593143
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision: str = '567cd83d63c2'
down_revision: Union[str, Sequence[str], None] = None
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
"""Upgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table('auto_announcements')
op.drop_table('announcement_sources')
op.drop_index(op.f('idx_dahuagov_content_hash'), table_name='dahuagov_announcements')
op.drop_index(op.f('idx_dahuagov_created_at'), table_name='dahuagov_announcements')
op.drop_index(op.f('idx_dahuagov_publish_date'), table_name='dahuagov_announcements')
op.drop_table('dahuagov_announcements')
op.drop_index(op.f('idx_crawl_results_crawled_at'), table_name='crawl_results')
op.drop_table('crawl_results')
op.drop_table('manual_announcements')
op.add_column('announcements', sa.Column('is_sent', sa.Boolean(), nullable=False))
op.alter_column('announcements', 'purchase_name',
existing_type=sa.VARCHAR(length=200),
nullable=False)
op.alter_column('announcements', 'content_url',
existing_type=sa.TEXT(),
nullable=False)
op.alter_column('announcements', 'content_hash',
existing_type=sa.VARCHAR(length=32),
type_=sa.String(length=64),
nullable=False)
op.alter_column('announcements', 'crawl_mode',
existing_type=sa.VARCHAR(length=20),
nullable=False,
existing_server_default=sa.text("'auto'::character varying"))
op.alter_column('announcements', 'is_new',
existing_type=sa.BOOLEAN(),
nullable=False,
existing_server_default=sa.text('true'))
op.alter_column('announcements', 'keyword_matched',
existing_type=sa.BOOLEAN(),
nullable=False,
existing_server_default=sa.text('false'))
op.alter_column('announcements', 'created_at',
existing_type=postgresql.TIMESTAMP(),
nullable=False,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.alter_column('announcements', 'updated_at',
existing_type=postgresql.TIMESTAMP(),
nullable=False,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.drop_index(op.f('idx_announcements_content_hash'), table_name='announcements')
op.drop_index(op.f('idx_announcements_created_at'), table_name='announcements')
op.drop_index(op.f('idx_announcements_publish_date'), table_name='announcements')
op.drop_index(op.f('idx_announcements_source_code'), table_name='announcements')
op.drop_column('announcements', 'date_filtered')
op.drop_column('announcements', 'is_today')
op.drop_column('announcements', 'crawled_at')
# ### end Alembic commands ###
def downgrade() -> None:
"""Downgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.add_column('announcements', sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True))
op.add_column('announcements', sa.Column('is_today', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True))
op.add_column('announcements', sa.Column('date_filtered', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True))
op.create_index(op.f('idx_announcements_source_code'), 'announcements', ['source_code'], unique=False)
op.create_index(op.f('idx_announcements_publish_date'), 'announcements', [sa.literal_column('publish_date DESC')], unique=False)
op.create_index(op.f('idx_announcements_created_at'), 'announcements', [sa.literal_column('created_at DESC')], unique=False)
op.create_index(op.f('idx_announcements_content_hash'), 'announcements', ['content_hash'], unique=False)
op.alter_column('announcements', 'updated_at',
existing_type=postgresql.TIMESTAMP(),
nullable=True,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.alter_column('announcements', 'created_at',
existing_type=postgresql.TIMESTAMP(),
nullable=True,
existing_server_default=sa.text('CURRENT_TIMESTAMP'))
op.alter_column('announcements', 'keyword_matched',
existing_type=sa.BOOLEAN(),
nullable=True,
existing_server_default=sa.text('false'))
op.alter_column('announcements', 'is_new',
existing_type=sa.BOOLEAN(),
nullable=True,
existing_server_default=sa.text('true'))
op.alter_column('announcements', 'crawl_mode',
existing_type=sa.VARCHAR(length=20),
nullable=True,
existing_server_default=sa.text("'auto'::character varying"))
op.alter_column('announcements', 'content_hash',
existing_type=sa.String(length=64),
type_=sa.VARCHAR(length=32),
nullable=True)
op.alter_column('announcements', 'content_url',
existing_type=sa.TEXT(),
nullable=True)
op.alter_column('announcements', 'purchase_name',
existing_type=sa.VARCHAR(length=200),
nullable=True)
op.drop_column('announcements', 'is_sent')
op.create_table('manual_announcements',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('title', sa.VARCHAR(length=500), autoincrement=False, nullable=False),
sa.Column('publish_date', postgresql.TIMESTAMP(), autoincrement=False, nullable=False),
sa.Column('purchase_name', sa.VARCHAR(length=200), autoincrement=False, nullable=True),
sa.Column('content_url', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('source_code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('source_name', sa.VARCHAR(length=100), autoincrement=False, nullable=False),
sa.Column('announcement_type', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True),
sa.Column('created_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('updated_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('content_hash', sa.VARCHAR(length=32), autoincrement=False, nullable=True),
sa.Column('keyword_matched', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.Column('date_filtered', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_new', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_today', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.PrimaryKeyConstraint('id', name=op.f('manual_announcements_pkey'))
)
op.create_table('crawl_results',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('source_code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('status', sa.VARCHAR(length=20), autoincrement=False, nullable=False),
sa.Column('total_count', sa.INTEGER(), server_default=sa.text('0'), autoincrement=False, nullable=True),
sa.Column('new_count', sa.INTEGER(), server_default=sa.text('0'), autoincrement=False, nullable=True),
sa.Column('error_message', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('crawled_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('duration', sa.DOUBLE_PRECISION(precision=53), server_default=sa.text('0.0'), autoincrement=False, nullable=True),
sa.ForeignKeyConstraint(['source_code'], ['announcement_sources.code'], name=op.f('crawl_results_source_code_fkey')),
sa.PrimaryKeyConstraint('id', name=op.f('crawl_results_pkey'))
)
op.create_index(op.f('idx_crawl_results_crawled_at'), 'crawl_results', [sa.literal_column('crawled_at DESC')], unique=False)
op.create_table('dahuagov_announcements',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('title', sa.VARCHAR(length=500), autoincrement=False, nullable=False),
sa.Column('publish_date', postgresql.TIMESTAMP(), autoincrement=False, nullable=False),
sa.Column('purchase_name', sa.VARCHAR(length=200), autoincrement=False, nullable=True),
sa.Column('content_url', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('source_code', sa.VARCHAR(length=50), server_default=sa.text("'dahuagov'::character varying"), autoincrement=False, nullable=False),
sa.Column('source_name', sa.VARCHAR(length=100), server_default=sa.text("'大化县政府网采购公告'::character varying"), autoincrement=False, nullable=False),
sa.Column('announcement_type', sa.VARCHAR(length=50), server_default=sa.text("'purchase'::character varying"), autoincrement=False, nullable=False),
sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True),
sa.Column('created_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('updated_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('content_hash', sa.VARCHAR(length=32), autoincrement=False, nullable=True),
sa.Column('is_new', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.PrimaryKeyConstraint('id', name=op.f('dahuagov_announcements_pkey')),
sa.UniqueConstraint('content_hash', name=op.f('dahuagov_announcements_content_hash_key'), postgresql_include=[], postgresql_nulls_not_distinct=False)
)
op.create_index(op.f('idx_dahuagov_publish_date'), 'dahuagov_announcements', [sa.literal_column('publish_date DESC')], unique=False)
op.create_index(op.f('idx_dahuagov_created_at'), 'dahuagov_announcements', [sa.literal_column('created_at DESC')], unique=False)
op.create_index(op.f('idx_dahuagov_content_hash'), 'dahuagov_announcements', ['content_hash'], unique=False)
op.create_table('announcement_sources',
sa.Column('code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('category_id', sa.INTEGER(), autoincrement=False, nullable=False),
sa.Column('name', sa.VARCHAR(length=100), autoincrement=False, nullable=False),
sa.Column('type', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.PrimaryKeyConstraint('code', name=op.f('announcement_sources_pkey'))
)
op.create_table('auto_announcements',
sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column('title', sa.VARCHAR(length=500), autoincrement=False, nullable=False),
sa.Column('publish_date', postgresql.TIMESTAMP(), autoincrement=False, nullable=False),
sa.Column('purchase_name', sa.VARCHAR(length=200), autoincrement=False, nullable=True),
sa.Column('content_url', sa.TEXT(), autoincrement=False, nullable=True),
sa.Column('source_code', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('source_name', sa.VARCHAR(length=100), autoincrement=False, nullable=False),
sa.Column('announcement_type', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
sa.Column('crawled_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=True),
sa.Column('created_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('updated_at', postgresql.TIMESTAMP(), server_default=sa.text('CURRENT_TIMESTAMP'), autoincrement=False, nullable=True),
sa.Column('content_hash', sa.VARCHAR(length=32), autoincrement=False, nullable=True),
sa.Column('keyword_matched', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.Column('date_filtered', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_new', sa.BOOLEAN(), server_default=sa.text('true'), autoincrement=False, nullable=True),
sa.Column('is_today', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=True),
sa.PrimaryKeyConstraint('id', name=op.f('auto_announcements_pkey')),
sa.UniqueConstraint('content_hash', name=op.f('auto_announcements_content_hash_key'), postgresql_include=[], postgresql_nulls_not_distinct=False)
)
# ### end Alembic commands ###
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from datetime import datetime
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy import func, select
from sqlalchemy.ext.asyncio import AsyncSession
from app.api.deps import get_db
from app.models.announcement import Announcement
from app.models.schemas import AnnouncementListResponse, AnnouncementResponse
router = APIRouter()
@router.get("/announcements", response_model=AnnouncementListResponse)
async def list_announcements(
page: int = Query(1, ge=1),
page_size: int = Query(20, ge=1, le=100),
source_code: str | None = None,
keyword: str | None = None,
start_date: str | None = None,
end_date: str | None = None,
crawl_mode: str | None = None,
db: AsyncSession = Depends(get_db),
):
conditions = []
if source_code:
conditions.append(Announcement.source_code == source_code)
if crawl_mode:
conditions.append(Announcement.crawl_mode == crawl_mode)
if start_date:
conditions.append(Announcement.publish_date >= start_date)
if end_date:
conditions.append(Announcement.publish_date <= end_date)
if keyword:
conditions.append(
Announcement.title.ilike(f"%{keyword}%")
)
base_query = select(Announcement)
if conditions:
base_query = base_query.where(*conditions)
count_query = select(func.count()).select_from(base_query.subquery())
total_result = await db.execute(count_query)
total = total_result.scalar() or 0
items_query = base_query.order_by(Announcement.publish_date.desc()) \
.offset((page - 1) * page_size).limit(page_size)
items_result = await db.execute(items_query)
items = items_result.scalars().all()
return AnnouncementListResponse(
total=total,
page=page,
page_size=page_size,
items=[AnnouncementResponse.model_validate(item) for item in items],
)
@router.get("/announcements/{announcement_id}", response_model=AnnouncementResponse)
async def get_announcement(announcement_id: int, db: AsyncSession = Depends(get_db)):
result = await db.execute(
select(Announcement).where(Announcement.id == announcement_id)
)
item = result.scalar_one_or_none()
if item is None:
raise HTTPException(status_code=404, detail="公告不存在")
return AnnouncementResponse.model_validate(item)
@router.get("/announcements/today", response_model=AnnouncementListResponse)
async def get_today_announcements(db: AsyncSession = Depends(get_db)):
today = datetime.now().date()
result = await db.execute(
select(Announcement).where(
func.date(Announcement.publish_date) == today
).order_by(Announcement.publish_date.desc())
)
items = result.scalars().all()
return AnnouncementListResponse(
total=len(items), page=1, page_size=len(items),
items=[AnnouncementResponse.model_validate(item) for item in items],
)
@router.get("/announcements/stats")
async def get_stats(db: AsyncSession = Depends(get_db)):
total = await db.execute(select(func.count()).select_from(Announcement))
today_count = await db.execute(
select(func.count()).where(
func.date(Announcement.publish_date) == func.current_date()
).select_from(Announcement)
)
new_count = await db.execute(
select(func.count()).where(Announcement.is_new == True) # noqa: E712
.select_from(Announcement)
)
unsent = await db.execute(
select(func.count()).where(
Announcement.is_sent == False, Announcement.is_new == True # noqa: E712
).select_from(Announcement)
)
return {
"total": total.scalar() or 0,
"today": today_count.scalar() or 0,
"new": new_count.scalar() or 0,
"unsent": unsent.scalar() or 0,
}
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from fastapi import APIRouter
from app.api.deps import get_crawl_service
from app.models.schemas import CrawlTriggerRequest
router = APIRouter()
@router.post("/crawl/trigger")
async def trigger_crawl(request: CrawlTriggerRequest):
service = get_crawl_service()
names = service.get_spider_names()
all_results = []
for name in names:
results = await service.run_spider(name)
all_results.extend(results)
return {
"spiders_run": names,
"total_announcements": sum(r.total_count for r in all_results),
"errors": [r.error_message for r in all_results if not r.success],
}
@router.get("/crawl/status")
async def crawl_status():
service = get_crawl_service()
return {
"spiders": service.get_spider_names(),
"running": False,
}
@router.get("/crawl/sources")
async def crawl_sources():
import json
from app.config import settings
sources = json.loads(settings.announcement_sources)
return {
"sources": [
{"code": code, "name": info["name"], "type": info["type"]}
for code, info in sources.items()
]
}
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from sqlalchemy.ext.asyncio import AsyncSession
from app.crawler.dahuagov_spider import DahuagovSpider
from app.crawler.gxgp_spider import GXGPSpider
from app.services.crawl_service import CrawlService
async def get_db() -> AsyncSession:
from app.main import async_session # 延迟导入避免循环引用
async with async_session() as session:
yield session
_crawl_service: CrawlService | None = None
def get_crawl_service() -> CrawlService:
global _crawl_service
if _crawl_service is None:
_crawl_service = CrawlService()
_crawl_service.register(GXGPSpider())
_crawl_service.register(DahuagovSpider())
return _crawl_service
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from fastapi import APIRouter
from app.api import announcements, crawl, wechat
from app.api import scheduler as scheduler_module
api_router = APIRouter(prefix="/api/v1")
api_router.include_router(announcements.router, tags=["announcements"])
api_router.include_router(crawl.router, tags=["crawl"])
api_router.include_router(wechat.router, tags=["wechat"])
api_router.include_router(scheduler_module.router)
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from fastapi import APIRouter
from app.models.schemas import JobResponse
from app.scheduler.jobs import scheduler
router = APIRouter(prefix="/scheduler", tags=["scheduler"])
@router.get("/jobs")
async def list_jobs():
jobs = []
for job in scheduler.get_jobs():
jobs.append(JobResponse(
id=job.id,
name=job.name,
next_run_time=str(job.next_run_time) if job.next_run_time else None,
))
return {"jobs": jobs}
@router.post("/pause/{job_id}")
async def pause_job(job_id: str):
scheduler.pause_job(job_id)
return {"status": "paused", "job_id": job_id}
@router.post("/resume/{job_id}")
async def resume_job(job_id: str):
scheduler.resume_job(job_id)
return {"status": "resumed", "job_id": job_id}
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from fastapi import APIRouter, Request, Response
from app.wechat.handler import WeChatMessageHandler
router = APIRouter()
_handler: WeChatMessageHandler | None = None
def get_handler() -> WeChatMessageHandler:
global _handler
if _handler is None:
_handler = WeChatMessageHandler()
return _handler
@router.get("/wechat/callback")
async def wechat_verify(request: Request):
handler = get_handler()
params = request.query_params
echostr = handler.verify_url(
params.get("msg_signature", ""),
params.get("timestamp", ""),
params.get("nonce", ""),
params.get("echostr", ""),
)
if echostr:
return Response(content=echostr, media_type="text/plain")
return Response(content="verification failed", status_code=403)
@router.post("/wechat/callback")
async def wechat_callback(request: Request):
handler = get_handler()
params = request.query_params
post_data = await request.body()
post_text = post_data.decode("utf-8")
xml_tree = handler.decrypt_message(
post_text,
params.get("msg_signature", ""),
params.get("timestamp", ""),
params.get("nonce", ""),
)
if xml_tree is None:
return Response(content="decrypt failed", status_code=403)
msg_type = xml_tree.find("MsgType")
msg_type = msg_type.text if msg_type is not None else "unknown"
if msg_type == "event":
event = xml_tree.find("Event")
event_key = xml_tree.find("EventKey")
from_user = xml_tree.find("FromUserName")
handler.handle_event(
event.text if event is not None else "",
event_key.text if event_key is not None else None,
from_user.text if from_user is not None else "",
)
elif msg_type == "text":
content = xml_tree.find("Content")
from_user = xml_tree.find("FromUserName")
handler.handle_text(
content.text if content is not None else "",
from_user.text if from_user is not None else "",
)
return Response(content="success")
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from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
# 应用
debug: bool = False
log_level: str = "INFO"
# 数据库
database_url: str = "postgresql+asyncpg://gx-gp-notify:password@localhost:5432/gx-gp-notify"
# 爬虫
crawler_base_url: str = "https://zfcg.gxzf.gov.cn"
crawler_keywords: list[str] = ["大化"]
crawler_max_pages: int = 10
crawler_timeout: int = 30
crawler_page_size: int = 100
# 企业微信
wechat_enabled: bool = True
wechat_corp_id: str = ""
wechat_agent_id: str = ""
wechat_secret: str = ""
wechat_token: str = ""
wechat_encoding_aes_key: str = ""
wechat_port: int = 18001
wechat_host: str = "0.0.0.0"
# 定时任务
scheduler_enabled: bool = True
scheduler_cron: str = "0 8,14,18 * * *"
# Markdown
markdown_enabled: bool = True
markdown_output_file: str = "onu.md"
# 公告来源(JSON 字符串,从环境变量读取)
announcement_sources: str = '{"ZcyAnnouncement1":{"category_id":66485,"name":"采购公告","type":"purchase"},"ZcyAnnouncement2":{"category_id":66485,"name":"结果公告","type":"result"},"ZcyAnnouncement3":{"category_id":66485,"name":"合同公告","type":"contract"},"ZcyAnnouncement4":{"category_id":66485,"name":"更正公告","type":"correction"},"ZcyAnnouncement5":{"category_id":66485,"name":"招标文件预公示","type":"pre_announcement"},"ZcyAnnouncement6":{"category_id":66485,"name":"单一来源公示","type":"single_source"},"ZcyAnnouncement7":{"category_id":66485,"name":"电子卖场公示","type":"electronic_market"},"ZcyAnnouncement10":{"category_id":66485,"name":"履约验收公示","type":"acceptance"},"ZcyAnnouncement11":{"category_id":66485,"name":"工程类公告","type":"engineering"},"ZcyAnnouncement20":{"category_id":66485,"name":"框架协议征集公告","type":"framework_agreement"},"ZcyAnnouncement21":{"category_id":66485,"name":"框架协议入围结果公告","type":"framework_result"},"ZcyAnnouncement23":{"category_id":66485,"name":"框架协议成交结果汇总公告","type":"framework_summary"},"61-266648":{"category_id":66485,"name":"采购意向公开","type":"intention"}}' # noqa: E501
settings = Settings()
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import hashlib
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from datetime import datetime
@dataclass
class CrawlResult:
source_code: str
source_name: str
total_count: int = 0
new_count: int = 0
announcements: list = field(default_factory=list)
error_message: str | None = None
crawled_at: datetime = field(default_factory=datetime.now)
duration: float = 0.0
@property
def success(self) -> bool:
return self.error_message is None
@dataclass
class PipelineConfig:
filter_enabled: bool = True
keywords: list[str] = field(default_factory=list)
dedup_enabled: bool = True
notify_mode: str = "filtered"
mark_sent: bool = False
@dataclass
class PipelineResult:
stored: int = 0
filtered: int = 0
notified: int = 0
markdown_generated: bool = False
class BaseSpider(ABC):
name: str
source_code: str
source_name: str
@abstractmethod
async def crawl(self) -> CrawlResult:
...
def get_pipeline_config(self) -> PipelineConfig:
return PipelineConfig()
@staticmethod
def generate_content_hash(title: str, publish_date: str, purchase_name: str,
content_url: str, source_code: str) -> str:
content = f"{title}|{publish_date}|{purchase_name}|{content_url}|{source_code}"
return hashlib.sha256(content.encode("utf-8")).hexdigest()
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import asyncio
import random
from datetime import datetime
import httpx
from app.config import settings
from app.crawler.base import BaseSpider, CrawlResult, PipelineConfig
from app.crawler.parsers import parse_dahuagov_html
class DahuagovSpider(BaseSpider):
name = "dahuagov"
source_code = "dahuagov"
source_name = "大化县政府网采购公告"
BASE_URL = "http://www.gxdh.gov.cn"
ANNOUNCEMENT_PATH = "/xxgk/zdlyxxgk/ggzypzly/zfcgly/cggg/"
def get_pipeline_config(self) -> PipelineConfig:
return PipelineConfig(
filter_enabled=False,
keywords=[],
dedup_enabled=True,
notify_mode="all",
mark_sent=True,
)
async def crawl(self) -> CrawlResult:
start_time = datetime.now()
url = self.BASE_URL + self.ANNOUNCEMENT_PATH
async with httpx.AsyncClient(timeout=settings.crawler_timeout) as client:
await self._delay()
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Accept": "text/html,application/xhtml+xml",
"Accept-Language": "zh-CN,zh;q=0.9",
"Referer": self.BASE_URL,
}
response = await client.get(url, headers=headers)
if response.status_code != 200:
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
error_message=f"HTTP {response.status_code}",
crawled_at=start_time,
)
html = response.text
except Exception as e:
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
error_message=str(e),
crawled_at=start_time,
)
announcements = parse_dahuagov_html(html, start_time)
duration = (datetime.now() - start_time).total_seconds()
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
total_count=len(announcements),
new_count=len(announcements),
announcements=announcements,
crawled_at=start_time,
duration=duration,
)
async def _delay(self):
delay = random.uniform(1.0, 3.0)
await asyncio.sleep(delay)
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import json
import random
import time
from datetime import datetime
import httpx
from app.config import settings
from app.crawler.base import BaseSpider, CrawlResult, PipelineConfig
from app.crawler.parsers import extract_pagination, parse_gxgp_api_response
class GXGPSpider(BaseSpider):
name = "gxgp"
source_code = "gxgp"
source_name = "广西政府采购网"
def __init__(self):
self.base_url = settings.crawler_base_url
self.announcement_api = f"{self.base_url}/portal/category"
def get_pipeline_config(self) -> PipelineConfig:
return PipelineConfig(
filter_enabled=True,
keywords=list(settings.crawler_keywords),
dedup_enabled=True,
notify_mode="filtered",
mark_sent=False,
)
async def crawl(self, sources: list[str] | None = None,
max_pages: int | None = None) -> CrawlResult:
if max_pages is None:
max_pages = settings.crawler_max_pages
if sources is None:
source_map = json.loads(settings.announcement_sources)
sources = list(source_map.keys())
start_time = datetime.now()
all_announcements = []
error_messages = []
async with httpx.AsyncClient(timeout=settings.crawler_timeout) as client:
for source_code in sources:
source_info = json.loads(settings.announcement_sources).get(source_code)
if not source_info:
continue
category_id = source_info["category_id"]
source_name = source_info["name"]
for page_no in range(1, max_pages + 1):
if page_no > 1:
await self._delay()
try:
data = await self._fetch_page(
client, source_code, category_id, page_no
)
if data is None:
break
records = parse_gxgp_api_response(
data, source_code, source_name,
start_time, category_id
)
if not records:
break
all_announcements.extend(records)
pagination = extract_pagination(data)
if not pagination["has_next"]:
break
except Exception as e:
error_messages.append(f"{source_code} page {page_no}: {e}")
break
duration = (datetime.now() - start_time).total_seconds()
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
total_count=len(all_announcements),
new_count=len(all_announcements),
announcements=all_announcements,
error_message="; ".join(error_messages) if error_messages else None,
crawled_at=start_time,
duration=duration,
)
async def _fetch_page(self, client: httpx.AsyncClient, source_code: str,
category_id: int, page_no: int) -> dict | None:
payload = {
"keyword": "",
"publishDateBegin": "",
"publishDateEnd": "",
"pageNo": page_no,
"pageSize": settings.crawler_page_size,
"categoryCode": source_code,
"_t": int(time.time() * 1000),
}
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Content-Type": "application/json;charset=UTF-8",
"Origin": self.base_url,
"Referer": f"{self.base_url}/site/category?parentId={category_id}&childrenCode={source_code}", # noqa: E501
}
response = await client.post(
self.announcement_api, json=payload, headers=headers
)
if response.status_code != 200:
return None
return response.json()
async def _delay(self):
import asyncio
delay = random.uniform(1.0, 3.0)
await asyncio.sleep(delay)
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import hashlib
from datetime import datetime
from typing import Any
from urllib.parse import urljoin
from bs4 import BeautifulSoup
def parse_gxgp_api_response(
response_data: dict[str, Any],
source_code: str,
source_name: str,
crawled_at: datetime,
category_id: int,
) -> list[dict[str, Any]]:
if not response_data.get("success"):
return []
data = response_data.get("result", {}).get("data", {})
records = data.get("data", [])
if not records:
return []
results = []
for record in records:
title = str(record.get("title", "")).strip()
if not title:
continue
timestamp = record.get("publishDate")
if not timestamp:
continue
try:
publish_date = datetime.fromtimestamp(int(timestamp) / 1000)
except (ValueError, TypeError):
continue
purchase_name = str(record.get("purchaseName", "")).strip()
article_id = record.get("articleId")
if not article_id:
continue
content_url = (
f"https://zfcg.gxzf.gov.cn/site/detail?"
f"parentId={category_id}&articleId={article_id}"
)
announce = {
"title": title,
"publish_date": publish_date,
"purchase_name": purchase_name,
"content_url": content_url,
"source_code": source_code,
"source_name": source_name,
"announcement_type": "purchase",
"crawl_mode": "auto",
"is_new": True,
"is_today": publish_date.date() == datetime.now().date(),
}
announce["content_hash"] = _generate_hash(announce)
results.append(announce)
return results
def extract_pagination(response_data: dict[str, Any]) -> dict[str, Any]:
data = response_data.get("result", {}).get("data", {})
return {
"total": data.get("total", 0),
"page_no": data.get("pageNo", 1),
"page_size": data.get("pageSize", 100),
"pages": data.get("pages", 0),
"empty": data.get("empty", True),
"has_next": data.get("hasNext", False),
"has_previous": data.get("hasPrevious", False),
}
def parse_dahuagov_html(html: str, crawled_at: datetime) -> list[dict[str, Any]]:
soup = BeautifulSoup(html, "html.parser")
lists = soup.find_all("ul", class_="more-list")
if not lists:
return []
results = []
base_url = "http://www.gxdh.gov.cn"
base_path = "/xxgk/zdlyxxgk/ggzypzly/zfcgly/cggg/"
for ul in lists:
for li in ul.find_all("li"):
date_span = li.find("span")
if not date_span:
continue
date_text = date_span.get_text(strip=True)
try:
publish_date = datetime.strptime(date_text, "%Y-%m-%d")
except ValueError:
continue
link_tag = li.find("a")
if not link_tag:
continue
title = link_tag.get("title", "") or link_tag.get_text(strip=True)
href = link_tag.get("href", "")
if not title or not href:
continue
if href.startswith("./") or href.startswith("../"):
content_url = urljoin(base_url + base_path, href)
elif href.startswith("/"):
content_url = base_url + href
elif href.startswith("http"):
content_url = href
else:
content_url = urljoin(base_url + base_path, href)
announce = {
"title": title,
"publish_date": publish_date,
"purchase_name": "大化瑶族自治县",
"content_url": content_url,
"source_code": "dahuagov",
"source_name": "大化县政府网采购公告",
"announcement_type": "purchase",
"crawl_mode": "auto",
"is_new": True,
"is_today": publish_date.date() == datetime.now().date(),
}
announce["content_hash"] = _generate_hash(announce)
results.append(announce)
return results
def _generate_hash(ann: dict[str, Any]) -> str:
content = (
f"{ann['title']}|{ann['publish_date'].strftime('%Y-%m-%d')}"
f"|{ann['purchase_name']}|{ann['content_url']}|{ann['source_code']}"
)
return hashlib.sha256(content.encode("utf-8")).hexdigest()
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import logging
from contextlib import asynccontextmanager
from fastapi import FastAPI
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine
from app.api.router import api_router
from app.config import settings
engine = create_async_engine(settings.database_url, echo=settings.debug)
async_session = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
async def get_db() -> AsyncSession:
async with async_session() as session:
yield session
@asynccontextmanager
async def lifespan(app: FastAPI):
logging.basicConfig(
level=getattr(logging, settings.log_level),
format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
)
from app.scheduler.jobs import shutdown_scheduler, start_scheduler
start_scheduler()
yield
shutdown_scheduler()
await engine.dispose()
app = FastAPI(
title="广西政府采购网公告监控系统",
version="2.0.0",
lifespan=lifespan,
docs_url="/docs" if settings.debug else None,
redoc_url=None,
)
app.include_router(api_router)
@app.get("/health")
async def health():
return {"status": "ok"}
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import hashlib
from datetime import datetime
from sqlalchemy import Boolean, DateTime, Integer, String, Text, func
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
class Base(DeclarativeBase):
pass
class Announcement(Base):
__tablename__ = "announcements"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
title: Mapped[str] = mapped_column(String(500), nullable=False)
publish_date: Mapped[datetime] = mapped_column(DateTime, nullable=False)
purchase_name: Mapped[str] = mapped_column(String(200), default="")
content_url: Mapped[str] = mapped_column(Text, default="")
source_code: Mapped[str] = mapped_column(String(50), nullable=False)
source_name: Mapped[str] = mapped_column(String(100), nullable=False)
announcement_type: Mapped[str] = mapped_column(String(50), default="purchase")
content_hash: Mapped[str] = mapped_column(String(64), unique=True, nullable=False)
crawl_mode: Mapped[str] = mapped_column(String(20), default="auto")
is_new: Mapped[bool] = mapped_column(Boolean, default=True)
is_sent: Mapped[bool] = mapped_column(Boolean, default=False)
keyword_matched: Mapped[bool] = mapped_column(Boolean, default=False)
created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now(), onupdate=func.now()) # noqa: E501
@staticmethod
def generate_hash(title: str, publish_date: str, purchase_name: str,
content_url: str, source_code: str) -> str:
content = f"{title}|{publish_date}|{purchase_name}|{content_url}|{source_code}"
return hashlib.sha256(content.encode("utf-8")).hexdigest()
@staticmethod
def source_map() -> dict:
import json
from app.config import settings
return json.loads(settings.announcement_sources)
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from datetime import datetime
from pydantic import BaseModel
class AnnouncementResponse(BaseModel):
id: int
title: str
publish_date: datetime
purchase_name: str
content_url: str
source_code: str
source_name: str
announcement_type: str
crawl_mode: str
is_new: bool
is_sent: bool
keyword_matched: bool
created_at: datetime
model_config = {"from_attributes": True}
class AnnouncementListResponse(BaseModel):
total: int
page: int
page_size: int
items: list[AnnouncementResponse]
class CrawlTriggerRequest(BaseModel):
keywords: list[str] | None = None
sources: list[str] | None = None
manual: bool = False
class CrawlStatusResponse(BaseModel):
running: bool
last_crawl_time: datetime | None = None
total_sources: int
class SourceInfo(BaseModel):
code: str
name: str
type: str
class SourcesResponse(BaseModel):
sources: list[SourceInfo]
class JobResponse(BaseModel):
id: str
name: str
next_run_time: str | None = None
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import logging
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from app.api.deps import get_crawl_service
from app.config import settings
logger = logging.getLogger(__name__)
scheduler = AsyncIOScheduler()
async def scheduled_crawl():
logger.info("开始定时爬取任务")
service = get_crawl_service()
names = service.get_spider_names()
for name in names:
try:
results = await service.run_spider(name)
for r in results:
if not r.success:
logger.error(f"Spider {name} 失败: {r.error_message}")
else:
logger.info(f"Spider {name} 完成: {r.total_count}")
except Exception as e:
logger.error(f"Spider {name} 异常: {e}")
logger.info("定时爬取任务完成")
def start_scheduler():
if not settings.scheduler_enabled:
return
scheduler.add_job(
scheduled_crawl,
"cron",
hour="8,14,18",
minute="0",
id="scheduled_crawl",
name="定时爬取",
timezone="Asia/Shanghai",
)
scheduler.start()
logger.info("APScheduler 已启动 (8:00, 14:00, 18:00)")
def shutdown_scheduler():
if scheduler.running:
scheduler.shutdown(wait=False)
logger.info("APScheduler 已停止")
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from app.crawler.base import BaseSpider, CrawlResult
class CrawlService:
def __init__(self):
self.spiders: dict[str, BaseSpider] = {}
def register(self, spider: BaseSpider):
self.spiders[spider.name] = spider
async def run_all(self) -> list[CrawlResult]:
results = []
for name, spider in self.spiders.items():
result = await spider.crawl()
results.append(result)
return results
async def run_spider(self, name: str, **kwargs) -> list[CrawlResult]:
spider = self.spiders.get(name)
if spider is None:
return [CrawlResult(
source_code=name, source_name=name,
error_message=f"Spider not found: {name}"
)]
result = await spider.crawl(**kwargs)
return [result]
def get_spider_names(self) -> list[str]:
return list(self.spiders.keys())
def get_pipeline_config(self, name: str):
spider = self.spiders.get(name)
if spider:
return spider.get_pipeline_config()
return None
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from datetime import date
from typing import Any
def filter_by_keywords(announcements: list[dict[str, Any]],
keywords: list[str]) -> list[dict[str, Any]]:
if not keywords:
return announcements
filtered = []
for ann in announcements:
search_text = f"{ann.get('title', '')} {ann.get('purchase_name', '')}"
if any(kw in search_text for kw in keywords):
ann["keyword_matched"] = True
filtered.append(ann)
return filtered
def filter_by_date(announcements: list[dict[str, Any]],
start_date: date | None = None,
end_date: date | None = None) -> list[dict[str, Any]]:
if not start_date and not end_date:
return announcements
filtered = []
for ann in announcements:
pub_date = ann.get("publish_date")
if not pub_date:
continue
if not isinstance(pub_date, date):
pub_date = pub_date.date() if hasattr(pub_date, "date") else None
if pub_date is None:
continue
if start_date and pub_date < start_date:
continue
if end_date and pub_date > end_date:
continue
filtered.append(ann)
return filtered
def dedup_by_hash(announcements: list[dict[str, Any]]) -> list[dict[str, Any]]:
seen = set()
result = []
for ann in announcements:
h = ann.get("content_hash")
if h and h not in seen:
seen.add(h)
result.append(ann)
return result
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from typing import Any
from app.config import settings
from app.wechat.client import WeChatClient
class NotificationService:
def __init__(self):
self.client = WeChatClient()
async def send(self, announcements: list[dict[str, Any]]) -> int:
if not settings.wechat_enabled:
return 0
if not announcements:
return 0
sent = 0
for ann in announcements:
try:
title = ann.get("title", "")
if len(title) > 128:
title = title[:125] + "..."
purchase_name = ann.get("purchase_name", "")
if len(purchase_name) > 25:
purchase_name = purchase_name[:22] + "..."
pub_date = ann.get("publish_date")
time_str = pub_date.strftime("%Y-%m-%d %H:%M") if pub_date else "时间未知"
source_name = ann.get("source_name", "")
description = (
f'<div style="font-size: 14px; margin-top: 8px;">'
f'{source_name} | {purchase_name} | {time_str}'
f'</div>'
)
url = ann.get("content_url", "")
if await self.client.send_textcard(title, description, url):
sent += 1
except Exception:
continue
return sent
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from typing import Any
from app.crawler.base import PipelineConfig, PipelineResult
from app.services.filter_service import dedup_by_hash
class PostCrawlPipeline:
def __init__(self, db_session, notification_service):
self.db = db_session
self.notify = notification_service
async def process(self, announcements: list[dict[str, Any]],
config: PipelineConfig) -> PipelineResult:
result = PipelineResult()
if not announcements:
return result
# 1. Dedup
if config.dedup_enabled:
announcements = dedup_by_hash(announcements)
# 2. Store to database
stored = await self._save_to_db(announcements)
result.stored = stored
to_notify = announcements
# 3. Filter
if config.filter_enabled and config.keywords:
before = len(to_notify)
to_notify = [a for a in to_notify
if self._match_keywords(a, config.keywords)]
result.filtered = before - len(to_notify)
# 4. Notify
if config.notify_mode == "all":
result.notified = await self._send_notifications(to_notify)
elif config.notify_mode == "filtered":
if config.filter_enabled and config.keywords:
result.notified = await self._send_notifications(to_notify)
elif not config.filter_enabled:
result.notified = await self._send_notifications(to_notify)
# 5. Mark sent
if config.mark_sent and result.notified > 0:
await self._mark_sent(to_notify)
return result
async def _save_to_db(self, announcements: list[dict[str, Any]]) -> int:
from sqlalchemy.dialects.postgresql import insert
from app.models.announcement import Announcement
if not announcements:
return 0
values = [{
"title": a["title"],
"publish_date": a["publish_date"],
"purchase_name": a.get("purchase_name", ""),
"content_url": a.get("content_url", ""),
"source_code": a["source_code"],
"source_name": a["source_name"],
"announcement_type": a.get("announcement_type", "purchase"),
"content_hash": a["content_hash"],
"crawl_mode": a.get("crawl_mode", "auto"),
"is_new": a.get("is_new", True),
"is_sent": False,
"keyword_matched": a.get("keyword_matched", False),
} for a in announcements]
stmt = insert(Announcement).values(values)
stmt = stmt.on_conflict_do_nothing(index_elements=["content_hash"])
result_proxy = await self.db.execute(stmt)
await self.db.commit()
return result_proxy.rowcount if result_proxy.rowcount >= 0 else len(values)
async def _send_notifications(self, announcements: list[dict[str, Any]]) -> int:
return await self.notify.send(announcements)
async def _mark_sent(self, announcements: list[dict[str, Any]]) -> int:
from sqlalchemy import update
from app.models.announcement import Announcement
hashes = [a["content_hash"] for a in announcements if a.get("content_hash")]
if not hashes:
return 0
stmt = (
update(Announcement)
.where(Announcement.content_hash.in_(hashes))
.values(is_sent=True)
)
result = await self.db.execute(stmt)
await self.db.commit()
return result.rowcount
@staticmethod
def _match_keywords(announcement: dict[str, Any], keywords: list[str]) -> bool:
text = f"{announcement.get('title', '')} {announcement.get('purchase_name', '')}"
return any(kw in text for kw in keywords)
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import time
import httpx
from app.config import settings
class WeChatClient:
def __init__(self):
self._access_token: str | None = None
self._token_expires_at: float = 0
async def _get_access_token(self) -> str | None:
now = time.time()
if self._access_token and now < self._token_expires_at:
return self._access_token
url = "https://qyapi.weixin.qq.com/cgi-bin/gettoken"
params = {
"corpid": settings.wechat_corp_id,
"corpsecret": settings.wechat_secret,
}
async with httpx.AsyncClient(timeout=30) as client:
response = await client.get(url, params=params)
data = response.json()
if data.get("errcode") == 0:
self._access_token = data["access_token"]
self._token_expires_at = now + data.get("expires_in", 7200) - 300
return self._access_token
return None
async def send_text(self, content: str, to_user: str = "@all") -> bool:
return await self._send_message("text", {"content": content}, to_user)
async def send_markdown(self, content: str, to_user: str = "@all") -> bool:
return await self._send_message("markdown", {"content": content}, to_user)
async def send_textcard(
self,
title: str,
description: str,
url: str,
to_user: str = "@all",
btn_txt: str = "查看详情",
) -> bool:
return await self._send_message(
"textcard",
{
"title": title,
"description": description,
"url": url,
"btntxt": btn_txt,
},
to_user,
)
async def _send_message(
self, msgtype: str, msg_data: dict, to_user: str = "@all"
) -> bool:
token = await self._get_access_token()
if not token:
return False
url = "https://qyapi.weixin.qq.com/cgi-bin/message/send"
params = {"access_token": token}
body = {
"touser": to_user,
"msgtype": msgtype,
"agentid": int(settings.wechat_agent_id),
msgtype: msg_data,
}
async with httpx.AsyncClient(timeout=30) as client:
response = await client.post(url, params=params, json=body)
data = response.json()
return data.get("errcode") == 0
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#!/usr/bin/env python
""" 对企业微信发送给企业后台的消息加解密示例代码.
@copyright: Copyright (c) 1998-2014 Tencent Inc.
"""
# ------------------------------------------------------------------------
import base64
import hashlib
import logging
import random
import socket
import struct
import time
import xml.etree.ElementTree as ET
from Crypto.Cipher import AES
try:
import ierror
except ImportError:
from . import ierror
"""
关于Crypto.Cipher模块,ImportError: No module named 'Crypto'解决方案
请到官方网站 https://www.dlitz.net/software/pycrypto/ 下载pycrypto。
下载后,按照README中的“Installation”小节的提示进行pycrypto安装。
"""
class FormatError(Exception):
pass
def throw_exception(message, exception_class=FormatError):
"""my define raise exception function"""
raise exception_class(message)
class SHA1:
"""计算企业微信的消息签名接口"""
def getSHA1(self, token, timestamp, nonce, encrypt):
"""用SHA1算法生成安全签名
@param token: 票据
@param timestamp: 时间戳
@param encrypt: 密文
@param nonce: 随机字符串
@return: 安全签名
"""
try:
sortlist = [token, timestamp, nonce, encrypt]
sortlist.sort()
sha = hashlib.sha1()
sha.update("".join(sortlist).encode())
return ierror.WXBizMsgCrypt_OK, sha.hexdigest()
except Exception as e:
logger = logging.getLogger()
logger.error(e)
return ierror.WXBizMsgCrypt_ComputeSignature_Error, None
class XMLParse:
"""提供提取消息格式中的密文及生成回复消息格式的接口"""
# xml消息模板
AES_TEXT_RESPONSE_TEMPLATE = """<xml>
<Encrypt><![CDATA[%(msg_encrypt)s]]></Encrypt>
<MsgSignature><![CDATA[%(msg_signaturet)s]]></MsgSignature>
<TimeStamp>%(timestamp)s</TimeStamp>
<Nonce><![CDATA[%(nonce)s]]></Nonce>
</xml>"""
def extract(self, xmltext):
"""提取出xml数据包中的加密消息
@param xmltext: 待提取的xml字符串
@return: 提取出的加密消息字符串
"""
try:
xml_tree = ET.fromstring(xmltext)
encrypt = xml_tree.find("Encrypt")
return ierror.WXBizMsgCrypt_OK, encrypt.text
except Exception as e:
logger = logging.getLogger()
logger.error(e)
return ierror.WXBizMsgCrypt_ParseXml_Error, None
def generate(self, encrypt, signature, timestamp, nonce):
"""生成xml消息
@param encrypt: 加密后的消息密文
@param signature: 安全签名
@param timestamp: 时间戳
@param nonce: 随机字符串
@return: 生成的xml字符串
"""
resp_dict = {
'msg_encrypt': encrypt,
'msg_signaturet': signature,
'timestamp': timestamp,
'nonce': nonce,
}
resp_xml = self.AES_TEXT_RESPONSE_TEMPLATE % resp_dict
return resp_xml
class PKCS7Encoder:
"""提供基于PKCS7算法的加解密接口"""
block_size = 32
def encode(self, text):
""" 对需要加密的明文进行填充补位
@param text: 需要进行填充补位操作的明文
@return: 补齐明文字符串
"""
text_length = len(text)
# 计算需要填充的位数
amount_to_pad = self.block_size - (text_length % self.block_size)
if amount_to_pad == 0:
amount_to_pad = self.block_size
# 获得补位所用的字符
pad = chr(amount_to_pad)
return text + (pad * amount_to_pad).encode()
def decode(self, decrypted):
"""删除解密后明文的补位字符
@param decrypted: 解密后的明文
@return: 删除补位字符后的明文
"""
pad = ord(decrypted[-1])
if pad < 1 or pad > 32:
pad = 0
return decrypted[:-pad]
class Prpcrypt:
"""提供接收和推送给企业微信消息的加解密接口"""
def __init__(self, key):
# self.key = base64.b64decode(key+"=")
self.key = key
# 设置加解密模式为AES的CBC模式
self.mode = AES.MODE_CBC
def encrypt(self, text, receiveid):
"""对明文进行加密
@param text: 需要加密的明文
@return: 加密得到的字符串
"""
# 16位随机字符串添加到明文开头
text = text.encode()
text = self.get_random_str() + struct.pack("I", socket.htonl(len(text))) + text + receiveid.encode() # noqa: E501
# 使用自定义的填充方式对明文进行补位填充
pkcs7 = PKCS7Encoder()
text = pkcs7.encode(text)
# 加密
cryptor = AES.new(self.key, self.mode, self.key[:16])
try:
ciphertext = cryptor.encrypt(text)
# 使用BASE64对加密后的字符串进行编码
return ierror.WXBizMsgCrypt_OK, base64.b64encode(ciphertext)
except Exception as e:
logger = logging.getLogger()
logger.error(e)
return ierror.WXBizMsgCrypt_EncryptAES_Error, None
def decrypt(self, text, receiveid):
"""对解密后的明文进行补位删除
@param text: 密文
@return: 删除填充补位后的明文
"""
try:
cryptor = AES.new(self.key, self.mode, self.key[:16])
# 使用BASE64对密文进行解码,然后AES-CBC解密
plain_text = cryptor.decrypt(base64.b64decode(text))
except Exception as e:
logger = logging.getLogger()
logger.error(e)
return ierror.WXBizMsgCrypt_DecryptAES_Error, None
try:
pad = plain_text[-1]
# 去掉补位字符串
# pkcs7 = PKCS7Encoder()
# plain_text = pkcs7.encode(plain_text)
# 去除16位随机字符串
content = plain_text[16:-pad]
xml_len = socket.ntohl(struct.unpack("I", content[: 4])[0])
xml_content = content[4: xml_len + 4]
from_receiveid = content[xml_len + 4:]
except Exception as e:
logger = logging.getLogger()
logger.error(e)
return ierror.WXBizMsgCrypt_IllegalBuffer, None
if from_receiveid.decode('utf8') != receiveid:
return ierror.WXBizMsgCrypt_ValidateCorpid_Error, None
return 0, xml_content
def get_random_str(self):
""" 随机生成16位字符串
@return: 16位字符串
"""
return str(random.randint(1000000000000000, 9999999999999999)).encode()
class WXBizMsgCrypt:
# 构造函数
def __init__(self, sToken, sEncodingAESKey, sReceiveId):
try:
self.key = base64.b64decode(sEncodingAESKey + "=")
assert len(self.key) == 32
except Exception:
throw_exception("[error]: EncodingAESKey unvalid !", FormatError)
# return ierror.WXBizMsgCrypt_IllegalAesKey,None
self.m_sToken = sToken
self.m_sReceiveId = sReceiveId
# 验证URL
# @param sMsgSignature: 签名串,对应URL参数的msg_signature
# @param sTimeStamp: 时间戳,对应URL参数的timestamp
# @param sNonce: 随机串,对应URL参数的nonce
# @param sEchoStr: 随机串,对应URL参数的echostr
# @param sReplyEchoStr: 解密之后的echostr,当return返回0时有效
# @return:成功0,失败返回对应的错误码
def VerifyURL(self, sMsgSignature, sTimeStamp, sNonce, sEchoStr):
sha1 = SHA1()
ret, signature = sha1.getSHA1(self.m_sToken, sTimeStamp, sNonce, sEchoStr)
if ret != 0:
return ret, None
if not signature == sMsgSignature:
return ierror.WXBizMsgCrypt_ValidateSignature_Error, None
pc = Prpcrypt(self.key)
ret, sReplyEchoStr = pc.decrypt(sEchoStr, self.m_sReceiveId)
return ret, sReplyEchoStr
def EncryptMsg(self, sReplyMsg, sNonce, timestamp=None):
# 将企业回复用户的消息加密打包
# @param sReplyMsg: 企业号待回复用户的消息,xml格式的字符串
# @param sTimeStamp: 时间戳,可以自己生成,也可以用URL参数的timestamp,如为None则自动用当前时间 # noqa: E501
# @param sNonce: 随机串,可以自己生成,也可以用URL参数的nonce # noqa: E501
# sEncryptMsg: 加密后的可以直接回复用户的密文,包括msg_signature, timestamp, nonce, encrypt的xml格式的字符串, # noqa: E501
# return:成功0sEncryptMsg,失败返回对应的错误码None
pc = Prpcrypt(self.key)
ret, encrypt = pc.encrypt(sReplyMsg, self.m_sReceiveId)
encrypt = encrypt.decode('utf8')
if ret != 0:
return ret, None
if timestamp is None:
timestamp = str(int(time.time()))
# 生成安全签名
sha1 = SHA1()
ret, signature = sha1.getSHA1(self.m_sToken, timestamp, sNonce, encrypt)
if ret != 0:
return ret, None
xmlParse = XMLParse()
return ret, xmlParse.generate(encrypt, signature, timestamp, sNonce)
def DecryptMsg(self, sPostData, sMsgSignature, sTimeStamp, sNonce):
# 检验消息的真实性,并且获取解密后的明文
# @param sMsgSignature: 签名串,对应URL参数的msg_signature
# @param sTimeStamp: 时间戳,对应URL参数的timestamp
# @param sNonce: 随机串,对应URL参数的nonce
# @param sPostData: 密文,对应POST请求的数据
# xml_content: 解密后的原文,当return返回0时有效
# @return: 成功0,失败返回对应的错误码
# 验证安全签名
xmlParse = XMLParse()
ret, encrypt = xmlParse.extract(sPostData)
if ret != 0:
return ret, None
sha1 = SHA1()
ret, signature = sha1.getSHA1(self.m_sToken, sTimeStamp, sNonce, encrypt)
if ret != 0:
return ret, None
if not signature == sMsgSignature:
return ierror.WXBizMsgCrypt_ValidateSignature_Error, None
pc = Prpcrypt(self.key)
ret, xml_content = pc.decrypt(encrypt, self.m_sReceiveId)
return ret, xml_content
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import xml.etree.ElementTree as ET
from app.config import settings
from app.wechat.crypto import WXBizMsgCrypt
class WeChatMessageHandler:
def __init__(self):
self.wxcpt = WXBizMsgCrypt(
sToken=settings.wechat_token,
sEncodingAESKey=settings.wechat_encoding_aes_key,
sReceiveId=settings.wechat_corp_id,
)
def verify_url(
self, msg_signature: str, timestamp: str, nonce: str, echostr: str
) -> str | None:
ret, sEchoStr = self.wxcpt.VerifyURL(
msg_signature, timestamp, nonce, echostr
)
if ret == 0:
return (
sEchoStr.decode("utf-8")
if isinstance(sEchoStr, bytes)
else sEchoStr
)
return None
def decrypt_message(
self,
post_data: str,
msg_signature: str,
timestamp: str,
nonce: str,
) -> ET.Element | None:
ret, xml_content = self.wxcpt.DecryptMsg(
post_data, msg_signature, timestamp, nonce
)
if ret != 0:
return None
return ET.fromstring(xml_content)
def encrypt_response(
self, response_xml: str, nonce: str, timestamp: str
) -> str | None:
ret, encrypted = self.wxcpt.EncryptMsg(response_xml, nonce, timestamp)
if ret == 0:
return encrypted
return None
def handle_event(
self, event: str, event_key: str | None, from_user: str
) -> str | None:
return None
def handle_text(self, content: str, from_user: str) -> str | None:
return None
+19
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@@ -0,0 +1,19 @@
#!/usr/bin/env python
#########################################################################
# Author: jonyqin
# Created Time: Thu 11 Sep 2014 01:53:58 PM CST
# File Name: ierror.py
# Description:定义错误码含义
#########################################################################
WXBizMsgCrypt_OK = 0
WXBizMsgCrypt_ValidateSignature_Error = -40001
WXBizMsgCrypt_ParseXml_Error = -40002
WXBizMsgCrypt_ComputeSignature_Error = -40003
WXBizMsgCrypt_IllegalAesKey = -40004
WXBizMsgCrypt_ValidateCorpid_Error = -40005
WXBizMsgCrypt_EncryptAES_Error = -40006
WXBizMsgCrypt_DecryptAES_Error = -40007
WXBizMsgCrypt_IllegalBuffer = -40008
WXBizMsgCrypt_EncodeBase64_Error = -40009
WXBizMsgCrypt_DecodeBase64_Error = -40010
WXBizMsgCrypt_GenReturnXml_Error = -40011
+16
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@@ -0,0 +1,16 @@
FROM python:3.12-slim
WORKDIR /app
RUN apt-get update && apt-get install -y --no-install-recommends \
libpq-dev && \
rm -rf /var/lib/apt/lists/*
COPY pyproject.toml .
RUN pip install --no-cache-dir -e ".[dev]"
COPY . .
EXPOSE 8000
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
+12
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@@ -0,0 +1,12 @@
services:
app:
build:
context: ..
dockerfile: docker/Dockerfile
ports:
- "8000:8000"
env_file:
- ../.env
volumes:
- ../logs:/app/logs
restart: unless-stopped
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,516 @@
# FastAPI + Docker 迁移设计文档
**日期**: 2026-05-09
**版本**: 1.0
**状态**: 设计阶段
---
## 1. 背景与目标
将现有的广西政府采购网公告监控系统从 Flask CLI 架构迁移到 FastAPI + Docker 部署方案,同时提升代码质量、安全性和可维护性。
### 核心目标
- FastAPI 替代 Flask 回调服务器 + argparse CLI,统一为一个 Web 应用
- Docker 单容器部署,连接现有 PostgreSQL
- SQLAlchemy ORM 替代原始 psycopg2 操作
- APScheduler 内置定时任务
- 环境变量管理配置,敏感信息不提交 git
- 异步改造(httpx + asyncpg
---
## 2. 新项目结构
```
gx-gp-notify/
├── app/
│ ├── __init__.py
│ ├── main.py # FastAPI 应用入口 + lifespan
│ ├── config.py # Pydantic Settings (环境变量驱动)
│ ├── api/
│ │ ├── __init__.py
│ │ ├── router.py # 统一路由注册
│ │ ├── deps.py # 依赖注入 (get_db, get_scheduler)
│ │ ├── announcements.py # 公告 CRUD 端点
│ │ ├── crawl.py # 爬取触发端点
│ │ └── wechat.py # 企业微信回调端点
│ ├── models/
│ │ ├── __init__.py
│ │ ├── announcement.py # SQLAlchemy 模型
│ │ └── schemas.py # Pydantic 请求/响应模型
│ ├── crawler/
│ │ ├── __init__.py
│ │ ├── base.py # Spider 抽象基类 + Pipeline 配置
│ │ ├── gxgp_spider.py # 广西政府采购网爬虫 (API 模式)
│ │ ├── dahuagov_spider.py # 大化县政府网爬虫 (HTML 模式)
│ │ └── parsers.py # 数据解析器
│ ├── services/
│ │ ├── __init__.py
│ │ ├── crawl_service.py # 爬取编排器 (注册/调用所有 Spider)
│ │ ├── pipeline.py # 统一后处理管道 (存储→筛选→推送)
│ │ ├── filter_service.py # 筛选逻辑
│ │ └── notification_service.py # 通知服务
│ ├── wechat/
│ │ ├── __init__.py
│ │ ├── handler.py # 消息处理器
│ │ ├── menu.py # 菜单管理
│ │ ├── crypto.py # WXBizMsgCrypt 加解密
│ │ └── client.py # 企业微信 API 客户端
│ └── scheduler/
│ ├── __init__.py
│ └── jobs.py # APScheduler 定时任务
├── tests/
│ ├── __init__.py
│ ├── conftest.py # pytest fixtures
│ ├── test_crawler/ # 爬虫解析器测试
│ ├── test_api/ # API 端点测试
│ └── test_services/ # 业务逻辑测试
├── alembic/ # 数据库迁移
│ └── versions/
├── docker/
│ ├── Dockerfile
│ └── docker-compose.yml
├── pyproject.toml # 项目元数据 + 依赖 + 工具配置
├── .env.example # 环境变量模板
├── .gitignore
└── logs/ # 日志目录 (gitignore)
```
---
## 3. 爬虫模块化设计
### 3.1 设计动机
系统爬取两个不同来源的公告:广西政府采购网(API 模式,13 种公告类型)和大化县政府网(HTML 解析,单一来源)。两个爬虫的后处理流程不同:
| 对比 | 广西政府采购网 | 大化县政府网 |
|------|---------------|-------------|
| 爬取方式 | POST JSON API | GET HTML + BeautifulSoup |
| 反爬机制 | 敏感词检查 | 无 |
| 分页 | 多页轮询 | 单页 |
| 筛选策略 | 关键词 + 日期 + 去重 | 不过滤 |
| 推送策略 | 只推送关键词匹配的 | 全部推送 |
| 已发送标记 | is_new 标记 | is_new → mark_sent |
为避免两个爬虫各自维护一套存储/筛选/推送逻辑,采用 **Spider 接口 + Pipeline 策略模式** 分离关注点。
### 3.2 架构
```
┌─────────────────────────────────────────────────┐
│ CrawlOrchestrator │
│ (注册所有 Spider,统一调度爬取) │
└─────────────────────┬───────────────────────────┘
┌─────────────┼─────────────┐
│ │ │
┌───────▼──────┐ ┌────▼──────┐ ┌────▼──────────┐
│ GXGPSpider │ │ Dahuagov │ │ (FutureSpider) │
│ (API 模式) │ │ Spider │ │ │
│ 13 sources │ │ (HTML模式) │ │ │
└───────┬──────┘ └────┬──────┘ └────┬───────────┘
│ │ │
└─────────────┼─────────────┘
│ List[Announcement]
┌─────────────────────▼───────────────────────────┐
│ PostCrawlPipeline │
│ │
│ 每个 Spider 声明 PipelineConfig: │
│ - filter_enabled: 是否启用关键词筛选 │
│ - keywords: 筛选关键词列表 │
│ - dedup_enabled: 是否去重 │
│ - notify_mode: "filtered" | "all" │
│ - mark_sent: 推送后是否标记已发送 │
│ │
│ 统一处理流程: │
│ 存储 → 去重 → 筛选(可选) → 推送(可选) → 标记(可选) │
└──────────────────────────────────────────────────┘
```
### 3.3 Spider 基类
```python
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import List
@dataclass
class PipelineConfig:
"""Spider 后处理策略配置"""
filter_enabled: bool = True
keywords: List[str] = None
dedup_enabled: bool = True
notify_mode: str = "filtered" # "filtered" | "all"
mark_sent: bool = False
class BaseSpider(ABC):
"""爬虫基类 — 只负责爬取+解析,不管后续如何处理"""
name: str # spider 名称
source_code: str # 来源代码
source_name: str # 来源名称
@abstractmethod
async def crawl(self) -> CrawlResult:
"""执行爬取,返回包含 Announcement 列表的 CrawlResult"""
...
def get_pipeline_config(self) -> PipelineConfig:
"""返回后处理策略(子类可覆盖)"""
return PipelineConfig()
```
### 3.4 两个 Spider 的 PipelineConfig
```python
# GXGPSpider — 关键词筛选模式
PipelineConfig(
filter_enabled=True,
keywords=["大化"], # 从配置读取
dedup_enabled=True,
notify_mode="filtered", # 只推送匹配关键词的
mark_sent=False, # 用 is_new 标记,不单独 mark_sent
)
# DahuagovSpider — 全量推送模式
PipelineConfig(
filter_enabled=False,
keywords=[],
dedup_enabled=True,
notify_mode="all", # 全部推送
mark_sent=True, # 推送后标记已发送
)
```
### 3.5 统一后处理管道
```python
class PostCrawlPipeline:
"""统一后处理管道 — 所有 Spider 共用"""
async def process(self, announcements: List[Announcement],
config: PipelineConfig) -> PipelineResult:
# 1. 统一存入 announcements 表 (按 source_code 区分)
# 2. 去重 (基于 content_hash)
# 3. 根据 config.filter_enabled 决定是否筛选
# 4. 根据 config.notify_mode 决定推送策略
# - "all": 推送全部新公告
# - "filtered": 只推送匹配关键词的
# 5. 根据 config.mark_sent 标记已发送
# 6. 生成 Markdown (可选)
...
```
### 3.6 优势
- **新增爬虫源**只需实现 `BaseSpider.crawl()` + 声明 `PipelineConfig`,推送/存储逻辑零改动
- **推送逻辑单一入口**,修改一处对所有源生效
- 每个 Spider 文件只关注"怎么爬"和"怎么解析",不再包含存储/筛选/推送代码
- `dahuagov_announcements` 独立表可合并到统一的 `announcements` 表,用 `source_code='dahuagov'` 区分
---
## 4. API 端点设计
### 3.1 公告查询
| 方法 | 路径 | 说明 |
|------|------|------|
| `GET` | `/api/v1/announcements` | 查询公告列表(分页、来源筛选、日期筛选、关键词搜索) |
| `GET` | `/api/v1/announcements/{id}` | 获取单条公告详情 |
| `GET` | `/api/v1/announcements/today` | 获取今日公告 |
| `GET` | `/api/v1/announcements/stats` | 获取公告统计信息 |
### 3.2 爬取控制
| 方法 | 路径 | 说明 |
|------|------|------|
| `POST` | `/api/v1/crawl/trigger` | 手动触发一次爬取(支持关键词/来源参数) |
| `GET` | `/api/v1/crawl/status` | 查看最近爬取状态 |
| `GET` | `/api/v1/crawl/sources` | 获取已配置的公告来源列表 |
### 3.3 定时任务
| 方法 | 路径 | 说明 |
|------|------|------|
| `GET` | `/api/v1/scheduler/jobs` | 查看活跃的定时任务 |
| `POST` | `/api/v1/scheduler/pause/{job_id}` | 暂停某个定时任务 |
| `POST` | `/api/v1/scheduler/resume/{job_id}` | 恢复某个定时任务 |
### 3.4 企业微信
| 方法 | 路径 | 说明 |
|------|------|------|
| `GET` `POST` | `/api/v1/wechat/callback` | 企业微信回调入口(URL验证 + 消息接收) |
### 3.5 系统
| 方法 | 路径 | 说明 |
|------|------|------|
| `GET` | `/health` | 健康检查(包含数据库连通性) |
### 3.6 通用特性
- FastAPI 自动生成 Swagger UI (`/docs`) 和 ReDoc (`/redoc`)
- 统一分页格式:`{ total, page, page_size, items }`
- 统一错误响应:`{ detail: "error message" }`
- 依赖注入:数据库 session、配置、调度器均通过 FastAPI `Depends()` 注入
- CORS 默认关闭,通过 `CORS_ORIGINS` 环境变量可选开启
---
## 5. 数据模型
### 5.1 公告表 (announcements)
合并现有的 `announcements``auto_announcements``manual_announcements``dahuagov_announcements` 四张表为一张,通过 `source_code` 字段区分来源,通过 `PipelineConfig` 控制每个来源的推送策略。
| 字段 | 类型 | 说明 |
|------|------|------|
| id | Integer | 主键 |
| title | String(500) | 公告标题 |
| publish_date | DateTime | 发布时间 |
| purchase_name | String(200) | 发布单位 |
| content_url | Text | 内容链接 |
| source_code | String(50) | 来源代码(ZcyAnnouncement1 / dahuagov 等) |
| source_name | String(100) | 来源名称 |
| announcement_type | String(50) | 公告类型枚举值 |
| content_hash | String(64) | SHA256 内容哈希,UNIQUE INDEX |
| crawl_mode | String(20) | "auto" / "manual" |
| is_new | Boolean | 是否新公告 |
| is_sent | Boolean | 是否已推送 |
| keyword_matched | Boolean | 是否匹配关键词 |
| created_at | DateTime | 创建时间 |
| updated_at | DateTime | 更新时间 |
### 5.2 设计决策
- **四表合一**:不再为不同来源或抓取模式创建独立表。`source_code` 区分来源(`ZcyAnnouncement1` ~ `dahuagov`),`crawl_mode` 区分自动/手动
- **is_sent 字段**:替代原来大化县的 `is_new → mark_sent` 模式,同时为广西采购网的公告提供统一的已推送标记
- **keyword_matched 字段**:在筛选阶段标记,持久化到数据库方便后续查询
### 5.3 变更说明
- `content_hash` 从 MD5 (32位) 改为 SHA256 (64位)
- 去掉 `announcement_sources` 表,来源信息从环境变量配置动态读取
- 去掉 `crawl_results` 表,爬取结果通过日志记录
- 使用 Alembic 管理数据库迁移
- 旧数据迁移:通过 Alembic migration 脚本将现有四张表的数据合并到新表
---
## 5. 配置管理
### 5.1 pydantic-settings
所有配置通过 `pydantic-settings``BaseSettings` 加载,来源优先级:环境变量 > `.env` 文件 > 默认值。
### 5.2 环境变量
```bash
# 应用
DEBUG=false
LOG_LEVEL=INFO
# 数据库(连接现有 PostgreSQL
DATABASE_URL=postgresql+asyncpg://gx-gp-notify:password@10.10.10.14:5432/gx-gp-notify
# 爬虫
CRAWLER_BASE_URL=https://zfcg.gxzf.gov.cn
CRAWLER_KEYWORDS=["大化"]
CRAWLER_MAX_PAGES=10
CRAWLER_TIMEOUT=30
# 企业微信
WECHAT_ENABLED=true
WECHAT_CORP_ID=ww69e8e44636f47780
WECHAT_AGENT_ID=1000007
WECHAT_SECRET=<secret>
WECHAT_TOKEN=<token>
WECHAT_ENCODING_AES_KEY=<aes_key>
# 定时任务
SCHEDULER_ENABLED=true
SCHEDULER_CRON=0 8,14,18 * * *
# Markdown 输出
MARKDOWN_OUTPUT_FILE=onu.md
```
### 5.3 安全措施
- `.env` 文件加入 `.gitignore`
- `config.yaml` 中的敏感信息不再提交到仓库
- 使用 SHA256 替代 MD5 做内容哈希
- 建议清理 git 历史中的敏感信息
---
## 6. Docker 部署
### 6.1 架构
```
docker-compose.yml
┌─────────────────────────────┐
│ app (FastAPI) │
│ - uvicorn 服务器 │
│ - APScheduler (内置) │
│ - 端口 8000 │
│ - 挂载: ./logs │
└──────────┬──────────────────┘
│ TCP 连接
┌──────────▼──────────────────┐
│ 外部 PostgreSQL (现有) │
│ 10.10.10.14:5432 │
└─────────────────────────────┘
```
### 6.2 Dockerfile
```dockerfile
FROM python:3.12-slim
WORKDIR /app
COPY pyproject.toml .
RUN pip install --no-cache-dir .
COPY . .
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
```
### 6.3 docker-compose.yml
```yaml
services:
app:
build: .
ports:
- "8000:8000"
env_file:
- .env
volumes:
- ./logs:/app/logs
restart: unless-stopped
```
### 6.4 启动步骤
```bash
cp .env.example .env # 编辑 .env 填入真实配置
docker compose up -d # 启动服务
docker compose logs -f app # 查看日志
```
---
## 7. 技术栈
| 组件 | 当前 | 迁移后 |
|------|------|--------|
| Web 框架 | Flask (仅回调用) | FastAPI |
| CLI | argparse | 不再需要,API 替代 |
| 数据库驱动 | psycopg2 (同步) | asyncpg (异步) + SQLAlchemy 2.0 |
| HTTP 客户端 | requests (同步) | httpx (异步) |
| 定时任务 | schedule 库 | APScheduler |
| 配置 | PyYAML + config.yaml | pydantic-settings + .env |
| 加密 | pycryptodome + cryptography | 保留 |
| 部署 | 裸机 + uWSGI | Docker + uvicorn |
| 代码检查 | 无 | ruff |
| 测试 | 无 | pytest + httpx |
| 迁移 | 手动 CREATE TABLE | Alembic |
---
## 8. 额外改进
### 8.1 异步改造
- 爬虫网络请求:`httpx.AsyncClient` 替代 `requests`
- 数据库:`asyncpg` + SQLAlchemy async engine
- 通知发送:`httpx.AsyncClient`
- API 端点使用 `async def`
### 8.2 自动化测试
- 爬虫解析器单元测试(Mock 网页响应,验证解析逻辑)
- 筛选逻辑单元测试
- API 端点集成测试(用 `httpx.AsyncClient` + 测试数据库)
- pytest + pytest-asyncio + pytest-cov
### 8.3 日志改进
- 结构化日志(JSON 格式)
- Docker 环境下输出到 stdout
- 保留文件日志供宿主机查看(挂载 `./logs` 目录)
### 8.4 错误处理
- 统一异常处理中间件
- 健康检查 `/health` 含数据库连通性验证
- 关键操作结构化日志记录
### 8.5 代码质量
- `ruff` 替代 flake8 + black
- `pyproject.toml` 统一管理依赖和工具配置
- 全面 Type Hints
### 8.6 .gitignore
```gitignore
.env
logs/
*.log
__pycache__/
*.pyc
.venv/
.ruff_cache/
.pytest_cache/
*.egg-info/
```
---
## 9. 迁移策略
### 分步执行
1. 创建新项目结构骨架(FastAPI app + config
2. 数据库模型 + Alembic 迁移
3. 迁移爬虫模块(异步改造)
4. 迁移服务层(筛选、通知、Markdown)
5. 迁移 WeChat 回调(Flask → FastAPI route
6. 添加 APScheduler 定时任务
7. 编写测试
8. Docker 化
9. 清理旧文件
### 向后兼容
- 保留 `dahuagov_announcements` 表结构不变
- 企业微信回调 URL 路径保持不变 (`/api/v1/wechat/callback`)
- 数据库迁移使用 Alembic,不丢失现有数据
---
## 10. 未包含的内容
- 不做多用户认证/授权(个人使用)
- 不做 Celery 分布式任务(个人使用,APScheduler 足够)
- 不做 Redis 缓存
- 不做前端 UI
---
## 11. 风险与缓解
| 风险 | 缓解 |
|------|------|
| 数据库迁移丢失数据 | Alembic 自动生成迁移脚本,先在测试环境验证 |
| 异步爬虫被目标站限流 | 保留现有延迟/重试机制,httpx 支持同样的超时配置 |
| 企业微信回调兼容性 | 回调路径不变,加解密逻辑完全复用现有代码 |
| Docker 网络访问 10.10.10.14 | 确认 Docker 宿主机可访问该 IP,必要时用 `host.docker.internal` |
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# 广西政府采购网公告监控系统配置文件
# 复制此文件为 config.yaml 并修改相应配置
# 调试模式
debug: false
# 日志配置
log_level: INFO
log_file: logs/gx_gp_monitor.log
log_max_size: 10485760 # 10MB
log_backup_count: 5
# 爬虫配置
crawler:
base_url: "https://zfcg.gxzf.gov.cn"
timeout: 30 # 请求超时时间(秒)
max_retries: 3 # 最大重试次数
retry_delay: 1.0 # 重试初始延迟
max_retry_delay: 60.0 # 重试最大延迟
backoff_factor: 2.0 # 退避因子
user_agents: # User-Agent列表
- "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
- "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Safari/605.1.15"
- "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
proxies: [] # 代理列表
request_delay: 1.0 # 请求间延迟
request_delay_max: 3.0 # 请求间最大延迟
keyword: ["大化"] # 关键词筛选(支持多个关键词)
start_date: "" # 开始日期 (YYYY-MM-DD)
end_date: "" # 结束日期 (YYYY-MM-DD)
max_pages: 10 # 最大页数
page_size: 100 # 每页大小
# 数据库配置
database:
enabled: true # 是否启用数据库存储
type: postgresql # 数据库类型
host: "10.10.10.14" # 数据库主机
port: 5432 # 数据库端口
name: "gx-gp-notify" # 数据库名称
user: "gx-gp-notify" # 数据库用户名
password: "MA6RBX4F6Bd5DGmw" # 数据库密码
pool_size: 5 # 连接池大小
max_overflow: 10 # 最大连接数
pool_timeout: 30 # 连接超时时间
pool_recycle: 3600 # 连接回收时间(秒)
data_retention_days: 90 # 数据保留天数
auto_cleanup: true # 是否自动清理过期数据
# 企业微信通知配置
wechat_app:
enabled: true # 是否启用企业微信通知
corp_id: "ww69e8e44636f47780" # 企业ID
agent_id: "1000007" # 应用ID
secret: "SmelCwKFoL0E9ATWFzr-w7gsfXBTN72lT1UqnNd0HpI" # 应用Secret
token: "DmvL98cAF6x9CFtQZwqD2emGL8S7HxA" # Token
encoding_aes_key: "yAc4OoSCP92YTefHXYfw27WeG9oF11W9d6nw6QYlU3D" # 消息加密Key
port: 18001 # 服务端口
host: "0.0.0.0" # 服务主机
debug: false # 调试模式
use_proxy: false # 是否使用代理API
proxy_api_url: "https://api.v6ole.top" # 代理API地址
# Markdown输出配置
markdown:
enabled: true # 是否启用Markdown输出
output_file: "onu.md" # 输出文件路径
max_entries: 1000 # 最大条目数
include_today_highlight: true # 是否突出显示今日公告
template_file: "templates/announcement.md" # 模板文件
# 公告来源配置
sources:
ZcyAnnouncement1:
category_id: 66485
name: "采购公告"
type: "purchase"
ZcyAnnouncement2:
category_id: 66485
name: "结果公告"
type: "result"
ZcyAnnouncement3:
category_id: 66485
name: "合同公告"
type: "contract"
ZcyAnnouncement4:
category_id: 66485
name: "更正公告"
type: "correction"
ZcyAnnouncement5:
category_id: 66485
name: "招标文件预公示"
type: "pre_announcement"
ZcyAnnouncement6:
category_id: 66485
name: "单一来源公示"
type: "single_source"
ZcyAnnouncement7:
category_id: 66485
name: "电子卖场公示"
type: "electronic_market"
ZcyAnnouncement10:
category_id: 66485
name: "履约验收公示"
type: "acceptance"
ZcyAnnouncement11:
category_id: 66485
name: "工程类公告"
type: "engineering"
ZcyAnnouncement20:
category_id: 66485
name: "框架协议征集公告"
type: "framework_agreement"
ZcyAnnouncement21:
category_id: 66485
name: "框架协议入围结果公告"
type: "framework_result"
ZcyAnnouncement23:
category_id: 66485
name: "框架协议成交结果汇总公告"
type: "framework_summary"
"61-266648":
category_id: 66485
name: "采购意向公开"
type: "intention"
# 调度配置已移除 - 如需定时任务功能,请重新添加
# 监控配置
monitoring:
enabled: true # 是否启用监控
health_check_interval: 300 # 健康检查间隔(秒)
alert_on_failure: true # 失败时是否告警
max_consecutive_failures: 3 # 最大连续失败次数
metrics_enabled: true # 是否启用指标收集
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2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 512
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: GwLOHlMWE3qBsHJ3DegXZk5RGOb0hEg2g9SbYIvxkhynxr/43t...
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: vlN4cpR79+nVcy2Cvf22D4nsbOxqtyYFlVO3nvPdIz2NLVZTCr...
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 052516f0e87dd3793a1035dccb0f3b3d9fd806de
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 060aff2e6666d1df9c957ebb61d214664c64e72f
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 052516f0e87dd3793a1035dccb0f3b3d9fd806de
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 060aff2e6666d1df9c957ebb61d214664c64e72f
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=text
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - INFO - 处理文本消息: content=河池分行大化瑶族自治县中医医院结算系
统项目..., user=NongGuangGuo
2026-05-06 15:08:19 - gx_gp_monitor.wechat.message_handler - INFO - 处理文本消息: 河池分行大化瑶族自治县中医医院结算系
统项目, user: NongGuangGuo
2026-05-06 15:08:19 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 关键词搜索: ['河池分行大化瑶族自治县中医医院结算系', '统项目']
2026-05-06 15:08:19 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=crawl_now, user=NongGuangGuo
2026-05-06 15:08:19 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: crawl_now, user: NongGuangGuo
2026-05-06 15:08:19 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 触发立即搜索
2026-05-06 15:08:19 - gx_gp_monitor.main - INFO - === 广西政府采购网公告监控系统启动 ===
2026-05-06 15:08:19 - gx_gp_monitor.main - INFO - 版本: 1.0.0
2026-05-06 15:08:19 - gx_gp_monitor.main - INFO - 配置文件: 默认配置
2026-05-06 15:08:19 - gx_gp_monitor.main - INFO - === 广西政府采购网公告监控系统启动 ===
2026-05-06 15:08:19 - gx_gp_monitor.main - INFO - 版本: 1.0.0
2026-05-06 15:08:19 - gx_gp_monitor.main - INFO - 配置文件: 默认配置
2026-05-06 15:08:19 - gx_gp_monitor.core.database - INFO - 数据库连接池初始化成功
2026-05-06 15:08:19 - gx_gp_monitor.core.database - INFO - 开始初始化数据库表结构
2026-05-06 15:08:19 - gx_gp_monitor.core.database - INFO - 数据库表结构初始化完成
2026-05-06 15:08:19 - gx_gp_monitor.storage.postgresql - INFO - 存储初始化完成
2026-05-06 15:08:19 - gx_gp_monitor.main - INFO - 应用初始化完成
2026-05-06 15:08:19 - gx_gp_monitor.main - INFO - 开始执行搜索任务 (手动搜索: False)
2026-05-06 15:08:19 - gx_gp_monitor.crawler.spider - INFO - 开始爬取 13 个公告来源
2026-05-06 15:08:19 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-05-06 15:08:19 - gx_gp_monitor.core.reliability - INFO - 健康检查通过
2026-05-06 15:08:19 - gx_gp_monitor.core.database - INFO - 开始初始化数据库表结构
2026-05-06 15:08:19 - gx_gp_monitor.core.database - INFO - 数据库表结构初始化完成
2026-05-06 15:08:19 - gx_gp_monitor.storage.postgresql - INFO - 存储初始化完成
2026-05-06 15:08:19 - gx_gp_monitor.main - INFO - 应用初始化完成
2026-05-06 15:08:19 - gx_gp_monitor.main - INFO - 开始执行搜索任务 (手动搜索: True)
2026-05-06 15:08:20 - gx_gp_monitor.crawler.spider - INFO - 开始爬取 13 个公告来源
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-05-06 15:08:20 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 0.44秒
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-05-06 15:08:20 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.40秒
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-05-06 15:08:21 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:21 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.46秒
2026-05-06 15:08:21 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-05-06 15:08:21 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:21 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.32秒
2026-05-06 15:08:21 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-05-06 15:08:21 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:21 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 100 条公告,耗时 0.32秒
2026-05-06 15:08:21 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
2026-05-06 15:08:22 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:22 - gx_gp_monitor - INFO - 单一来源公示 爬取完成,共获取 100 条公告,耗时 0.32秒
2026-05-06 15:08:22 - gx_gp_monitor - INFO - 开始爬取 电子卖场公示
2026-05-06 15:08:22 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:22 - gx_gp_monitor - INFO - 电子卖场公示 爬取完成,共获取 100 条公告,耗时 0.50秒
2026-05-06 15:08:22 - gx_gp_monitor - INFO - 开始爬取 履约验收公示
2026-05-06 15:08:22 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:22 - gx_gp_monitor - INFO - 履约验收公示 爬取完成,共获取 100 条公告,耗时 0.27秒
2026-05-06 15:08:22 - gx_gp_monitor - INFO - 开始爬取 工程类公告
2026-05-06 15:08:23 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:23 - gx_gp_monitor - INFO - 工程类公告 爬取完成,共获取 100 条公告,耗时 0.30秒
2026-05-06 15:08:23 - gx_gp_monitor - INFO - 开始爬取 框架协议征集公告
2026-05-06 15:08:23 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:23 - gx_gp_monitor - INFO - 框架协议征集公告 爬取完成,共获取 100 条公告,耗时 0.27秒
2026-05-06 15:08:23 - gx_gp_monitor - INFO - 开始爬取 框架协议入围结果公告
2026-05-06 15:08:23 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:23 - gx_gp_monitor - INFO - 框架协议入围结果公告 爬取完成,共获取 100 条公告,耗时 0.26秒
2026-05-06 15:08:23 - gx_gp_monitor - INFO - 开始爬取 框架协议成交结果汇总公告
2026-05-06 15:08:24 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:24 - gx_gp_monitor - INFO - 框架协议成交结果汇总公告 爬取完成,共获取 100 条公告,耗时 0.27秒
2026-05-06 15:08:24 - gx_gp_monitor - INFO - 开始爬取 采购意向公开
2026-05-06 15:08:24 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:24 - gx_gp_monitor - INFO - 采购意向公开 爬取完成,共获取 100 条公告,耗时 0.29秒
2026-05-06 15:08:24 - gx_gp_monitor.crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 13 个,失败 0 个,获取 1300 条公告
2026-05-06 15:08:24 - gx_gp_monitor.main - INFO - 搜索到 1300 条原始公告
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 开始按来源保存 1300 条公告,每个来源最多保留 100 条
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 1 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement1 保存了 1 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 1 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement2 保存了 1 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 1 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement3 保存了 1 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 1 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement4 保存了 1 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 1 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement5 保存了 1 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement6 保存了 0 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement7 保存了 0 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement10 保存了 0 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement11 保存了 0 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement20 保存了 0 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement21 保存了 0 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement23 保存了 0 条公告
2026-05-06 15:08:24 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 来源 61-266648 保存了 0 条公告
2026-05-06 15:08:24 - gx_gp_monitor.storage.postgresql - INFO - 按来源保存完成,总计保存 5 条公告
2026-05-06 15:08:24 - gx_gp_monitor.main - INFO - 保存自动爬取公告完成:共保存 5 条,按来源统计: {'ZcyAnnouncement1': 1, 'ZcyAnnouncement2': 1, 'ZcyAnnouncement3': 1, 'ZcyAnnouncement4': 1, 'ZcyAnnouncement5': 1, 'ZcyAnnouncement6': 0, 'ZcyAnnouncement7': 0, 'ZcyAnnouncement10': 0, 'ZcyAnnouncement11': 0, 'ZcyAnnouncement20': 0, 'ZcyAnnouncement21': 0, 'ZcyAnnouncement23': 0, '61-266648': 0}
2026-05-06 15:08:24 - gx_gp_monitor.main - INFO - 筛选出 1300 条新公告
2026-05-06 15:08:24 - gx_gp_monitor.filters.filters - INFO - 来源筛选: 1300 -> 1300 条公告
2026-05-06 15:08:24 - gx_gp_monitor.filters.filters - INFO - 去重筛选: 移除了 1300 条重复公告
2026-05-06 15:08:24 - gx_gp_monitor.filters.filters - INFO - 关键词筛选: 0 -> 0 条公告
2026-05-06 15:08:24 - gx_gp_monitor.filters.filters - INFO - 筛选完成: 总数 1300 -> 筛选后 0 (关键词: 0, 日期: 0, 去重: 1300, 来源: 0)
2026-05-06 15:08:24 - gx_gp_monitor.main - INFO - 筛选后剩余 0 条公告
2026-05-06 15:08:24 - gx_gp_monitor.storage.md_generator - INFO - Markdown文件已保存到: onu.md (共 0 条公告)
2026-05-06 15:08:24 - gx_gp_monitor.main - INFO - 爬取任务完成: {'success': True, 'total_crawled': 1300, 'filtered': 0, 'saved': 0, 'markdown_generated': True, 'notification_sent': False, 'filter_stats': {'keyword_filtered': 1300, 'date_filtered': 0, 'duplicate_filtered': 1300, 'source_filtered': 0}}
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: /GWEdhQRyz77Ot0gML2ySdkbya+0yS/l2Zun0R3RRbsUsiZ/5/...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: a3f07c703a094e51e6f65f10e1207347ba52e516
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: a3f07c703a094e51e6f65f10e1207347ba52e516
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_search, user=WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_search, user: WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 WeiJueSen 触发关键词搜索菜单
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: Zh2CaGZnzxNyfY2UAmovYgB312yS33AE9njwfsmdnR4Zdz6dpM...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 2b12a7b22e5b1ce6051b25e1239eb3f89e168f89
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 2b12a7b22e5b1ce6051b25e1239eb3f89e168f89
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: /GWEdhQRyz77Ot0gML2ySdkbya+0yS/l2Zun0R3RRbsUsiZ/5/...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: a3f07c703a094e51e6f65f10e1207347ba52e516
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: a3f07c703a094e51e6f65f10e1207347ba52e516
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_search, user=WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_search, user: WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 WeiJueSen 触发关键词搜索菜单
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: BShc5Ko31VKzOh2A5AV7Id4WWX6+b+i013Kb+j4gOeFD4QpMz/...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: bcacf78d1048a9a06df24a596f173cd483feff96
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: bcacf78d1048a9a06df24a596f173cd483feff96
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: Zh2CaGZnzxNyfY2UAmovYgB312yS33AE9njwfsmdnR4Zdz6dpM...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 2b12a7b22e5b1ce6051b25e1239eb3f89e168f89
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 2b12a7b22e5b1ce6051b25e1239eb3f89e168f89
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: Hj5eJcf9InnhKnkJxjUdwjrfJLtEGw9pSsTXEZUemhGwdaseGY...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: efc35b9b2fb9c388203fd0d92725e4c52e7971bd
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: efc35b9b2fb9c388203fd0d92725e4c52e7971bd
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 WeiJueSen 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: /GWEdhQRyz77Ot0gML2ySdkbya+0yS/l2Zun0R3RRbsUsiZ/5/...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: a3f07c703a094e51e6f65f10e1207347ba52e516
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: a3f07c703a094e51e6f65f10e1207347ba52e516
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_search, user=WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_search, user: WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 WeiJueSen 触发关键词搜索菜单
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: BShc5Ko31VKzOh2A5AV7Id4WWX6+b+i013Kb+j4gOeFD4QpMz/...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: bcacf78d1048a9a06df24a596f173cd483feff96
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: bcacf78d1048a9a06df24a596f173cd483feff96
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: Zh2CaGZnzxNyfY2UAmovYgB312yS33AE9njwfsmdnR4Zdz6dpM...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 2b12a7b22e5b1ce6051b25e1239eb3f89e168f89
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 2b12a7b22e5b1ce6051b25e1239eb3f89e168f89
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: Hj5eJcf9InnhKnkJxjUdwjrfJLtEGw9pSsTXEZUemhGwdaseGY...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: efc35b9b2fb9c388203fd0d92725e4c52e7971bd
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: efc35b9b2fb9c388203fd0d92725e4c52e7971bd
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 WeiJueSen 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: s2AORSQopkHXxA09QhYM2xaxUQiwXq6SbJmEVtAdVgBsKdaTyk...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 09b95c92d81b3fdf2e2ce2d39f26f3fabb702ca2
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 09b95c92d81b3fdf2e2ce2d39f26f3fabb702ca2
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=help_guide, user=WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: help_guide, user: WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 WeiJueSen 请求使用说明
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: BShc5Ko31VKzOh2A5AV7Id4WWX6+b+i013Kb+j4gOeFD4QpMz/...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: bcacf78d1048a9a06df24a596f173cd483feff96
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: bcacf78d1048a9a06df24a596f173cd483feff96
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: koSh3mf1jROPiRIjbk0r2Wxz6G45YqfC7e6FEMFpko9WHl2TaA...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: b1009660d3a9d1248e4f4ae0380f311e15a31b35
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: b1009660d3a9d1248e4f4ae0380f311e15a31b35
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: Hj5eJcf9InnhKnkJxjUdwjrfJLtEGw9pSsTXEZUemhGwdaseGY...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: efc35b9b2fb9c388203fd0d92725e4c52e7971bd
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: efc35b9b2fb9c388203fd0d92725e4c52e7971bd
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 WeiJueSen 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: s2AORSQopkHXxA09QhYM2xaxUQiwXq6SbJmEVtAdVgBsKdaTyk...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 09b95c92d81b3fdf2e2ce2d39f26f3fabb702ca2
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 09b95c92d81b3fdf2e2ce2d39f26f3fabb702ca2
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=help_guide, user=WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: help_guide, user: WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 WeiJueSen 请求使用说明
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: Wf8nBEZm2h74BAUuJO4v23ZodRVoaehzIkrZmu5znNTFx6ZviG...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 1374c68c6060fedb594170f77ac661f74115216a
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 1374c68c6060fedb594170f77ac661f74115216a
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: gpwcqJRahQ4lkz8z+9dRmAKMTp6cZTj7TFaoc7dXjJ+gpiTKee...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 2f83d678f4cf2d420d13889341727e94da5f7e20
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 2f83d678f4cf2d420d13889341727e94da5f7e20
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=text
2026-05-06 15:08:24 - gx_gp_monitor.wechat.callback_server - INFO - 处理文本消息: content=你好..., user=WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 处理文本消息: 你好, user: WeiJueSen
2026-05-06 15:08:24 - gx_gp_monitor.wechat.message_handler - INFO - 用户 WeiJueSen 关键词搜索: ['你好']
2026-05-06 15:08:24 - gx_gp_monitor.main - INFO - 开始执行搜索任务 (手动搜索: True)
2026-05-06 15:08:24 - gx_gp_monitor.crawler.spider - INFO - 开始爬取 13 个公告来源
2026-05-06 15:08:24 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-05-06 15:08:25 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:25 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 0.45秒
2026-05-06 15:08:25 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-05-06 15:08:25 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:25 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.36秒
2026-05-06 15:08:25 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-05-06 15:08:26 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:26 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.30秒
2026-05-06 15:08:26 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-05-06 15:08:26 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:26 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.31秒
2026-05-06 15:08:26 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-05-06 15:08:26 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:26 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 100 条公告,耗时 0.31秒
2026-05-06 15:08:26 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
2026-05-06 15:08:26 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:26 - gx_gp_monitor - INFO - 单一来源公示 爬取完成,共获取 100 条公告,耗时 0.30秒
2026-05-06 15:08:26 - gx_gp_monitor - INFO - 开始爬取 电子卖场公示
2026-05-06 15:08:27 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:27 - gx_gp_monitor - INFO - 电子卖场公示 爬取完成,共获取 100 条公告,耗时 0.48秒
2026-05-06 15:08:27 - gx_gp_monitor - INFO - 开始爬取 履约验收公示
2026-05-06 15:08:27 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:27 - gx_gp_monitor - INFO - 履约验收公示 爬取完成,共获取 100 条公告,耗时 0.29秒
2026-05-06 15:08:27 - gx_gp_monitor - INFO - 开始爬取 工程类公告
2026-05-06 15:08:28 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:28 - gx_gp_monitor - INFO - 工程类公告 爬取完成,共获取 100 条公告,耗时 0.40秒
2026-05-06 15:08:28 - gx_gp_monitor - INFO - 开始爬取 框架协议征集公告
2026-05-06 15:08:28 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:28 - gx_gp_monitor - INFO - 框架协议征集公告 爬取完成,共获取 100 条公告,耗时 0.32秒
2026-05-06 15:08:28 - gx_gp_monitor - INFO - 开始爬取 框架协议入围结果公告
2026-05-06 15:08:28 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:28 - gx_gp_monitor - INFO - 框架协议入围结果公告 爬取完成,共获取 100 条公告,耗时 0.27秒
2026-05-06 15:08:28 - gx_gp_monitor - INFO - 开始爬取 框架协议成交结果汇总公告
2026-05-06 15:08:29 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:29 - gx_gp_monitor - INFO - 框架协议成交结果汇总公告 爬取完成,共获取 100 条公告,耗时 0.29秒
2026-05-06 15:08:29 - gx_gp_monitor - INFO - 开始爬取 采购意向公开
2026-05-06 15:08:29 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:29 - gx_gp_monitor - INFO - 采购意向公开 爬取完成,共获取 100 条公告,耗时 0.31秒
2026-05-06 15:08:29 - gx_gp_monitor.crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 13 个,失败 0 个,获取 1300 条公告
2026-05-06 15:08:29 - gx_gp_monitor.main - INFO - 搜索到 1300 条原始公告
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 开始按来源保存 1300 条手动搜索公告到专用表,每个来源最多保留 100 条
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement1 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement2 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement3 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement4 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement5 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement6 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement7 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement10 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement11 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement20 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement21 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement23 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 来源 61-266648 保存了 1 条手动搜索公告
2026-05-06 15:08:29 - gx_gp_monitor.storage.postgresql - INFO - 按来源保存手动搜索公告完成,总计保存 13 条公告
2026-05-06 15:08:29 - gx_gp_monitor.main - INFO - 保存手动搜索公告完成:共保存 13 条,按来源统计: {'ZcyAnnouncement1': 1, 'ZcyAnnouncement2': 1, 'ZcyAnnouncement3': 1, 'ZcyAnnouncement4': 1, 'ZcyAnnouncement5': 1, 'ZcyAnnouncement6': 1, 'ZcyAnnouncement7': 1, 'ZcyAnnouncement10': 1, 'ZcyAnnouncement11': 1, 'ZcyAnnouncement20': 1, 'ZcyAnnouncement21': 1, 'ZcyAnnouncement23': 1, '61-266648': 1}
2026-05-06 15:08:29 - gx_gp_monitor.filters.filters - INFO - 日期筛选: 1300 -> 352 条公告
2026-05-06 15:08:29 - gx_gp_monitor.filters.filters - INFO - 关键词筛选: 352 -> 0 条公告
2026-05-06 15:08:29 - gx_gp_monitor.filters.filters - INFO - 来源筛选: 0 -> 0 条公告
2026-05-06 15:08:29 - gx_gp_monitor.main - INFO - 筛选后剩余 0 条公告
2026-05-06 15:08:29 - gx_gp_monitor.main - INFO - 手动爬取模式:跳过筛选后公告的数据库保存
2026-05-06 15:08:29 - gx_gp_monitor.main - INFO - 爬取任务完成: {'success': True, 'total_crawled': 1300, 'filtered': 0, 'saved': 0, 'markdown_generated': False, 'notification_sent': False, 'filter_stats': {'keyword_filtered': 352, 'date_filtered': 948, 'duplicate_filtered': 0, 'source_filtered': 0}, 'filtered_announcements': []}
2026-05-06 15:08:39 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:39 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: rMwd7/7jivhj3K171JP9cTR0n/vSdK/XxP5FWC4NirBXOkApNN...
2026-05-06 15:08:39 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: aff09303a74cb9b91b58bda7f544420d89e99342
2026-05-06 15:08:39 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: aff09303a74cb9b91b58bda7f544420d89e99342
2026-05-06 15:08:39 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:39 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:39 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:39 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:08:39 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:08:39 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:08:46 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:08:46 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: 9BiCuWCpV4Por0LpC3Q2d+iJL/AY9a8gv724JzeANrK2O/S/9L...
2026-05-06 15:08:46 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 3b373232e89cde03fef86f3efae1d3848558428c
2026-05-06 15:08:46 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 3b373232e89cde03fef86f3efae1d3848558428c
2026-05-06 15:08:46 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:08:46 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:08:46 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:08:46 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:08:46 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:08:46 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:08:50 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:50 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 30.48秒
2026-05-06 15:08:50 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-05-06 15:08:50 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:50 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.32秒
2026-05-06 15:08:50 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-05-06 15:08:51 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:51 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.29秒
2026-05-06 15:08:51 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-05-06 15:08:51 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:51 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.34秒
2026-05-06 15:08:51 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-05-06 15:08:51 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:51 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 100 条公告,耗时 0.32秒
2026-05-06 15:08:51 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
2026-05-06 15:08:52 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:52 - gx_gp_monitor - INFO - 单一来源公示 爬取完成,共获取 100 条公告,耗时 0.28秒
2026-05-06 15:08:52 - gx_gp_monitor - INFO - 开始爬取 电子卖场公示
2026-05-06 15:08:52 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:52 - gx_gp_monitor - INFO - 电子卖场公示 爬取完成,共获取 100 条公告,耗时 0.46秒
2026-05-06 15:08:52 - gx_gp_monitor - INFO - 开始爬取 履约验收公示
2026-05-06 15:08:52 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:52 - gx_gp_monitor - INFO - 履约验收公示 爬取完成,共获取 100 条公告,耗时 0.40秒
2026-05-06 15:08:52 - gx_gp_monitor - INFO - 开始爬取 工程类公告
2026-05-06 15:08:53 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:53 - gx_gp_monitor - INFO - 工程类公告 爬取完成,共获取 100 条公告,耗时 0.30秒
2026-05-06 15:08:53 - gx_gp_monitor - INFO - 开始爬取 框架协议征集公告
2026-05-06 15:08:53 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:53 - gx_gp_monitor - INFO - 框架协议征集公告 爬取完成,共获取 100 条公告,耗时 0.26秒
2026-05-06 15:08:53 - gx_gp_monitor - INFO - 开始爬取 框架协议入围结果公告
2026-05-06 15:08:53 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:53 - gx_gp_monitor - INFO - 框架协议入围结果公告 爬取完成,共获取 100 条公告,耗时 0.28秒
2026-05-06 15:08:53 - gx_gp_monitor - INFO - 开始爬取 框架协议成交结果汇总公告
2026-05-06 15:08:54 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:54 - gx_gp_monitor - INFO - 框架协议成交结果汇总公告 爬取完成,共获取 100 条公告,耗时 0.32秒
2026-05-06 15:08:54 - gx_gp_monitor - INFO - 开始爬取 采购意向公开
2026-05-06 15:08:54 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:54 - gx_gp_monitor - INFO - 采购意向公开 爬取完成,共获取 100 条公告,耗时 0.30秒
2026-05-06 15:08:54 - gx_gp_monitor.crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 13 个,失败 0 个,获取 1300 条公告
2026-05-06 15:08:54 - gx_gp_monitor.main - INFO - 搜索到 1300 条原始公告
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 开始按来源保存 1300 条手动搜索公告到专用表,每个来源最多保留 100 条
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement1 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement2 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement3 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement4 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement5 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement6 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement7 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement10 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement11 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement20 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement21 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement23 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.core.database - INFO - 批量保存公告到manual_announcements完成,影响行数: 1
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 来源 61-266648 保存了 1 条手动搜索公告
2026-05-06 15:08:54 - gx_gp_monitor.storage.postgresql - INFO - 按来源保存手动搜索公告完成,总计保存 13 条公告
2026-05-06 15:08:54 - gx_gp_monitor.main - INFO - 保存手动搜索公告完成:共保存 13 条,按来源统计: {'ZcyAnnouncement1': 1, 'ZcyAnnouncement2': 1, 'ZcyAnnouncement3': 1, 'ZcyAnnouncement4': 1, 'ZcyAnnouncement5': 1, 'ZcyAnnouncement6': 1, 'ZcyAnnouncement7': 1, 'ZcyAnnouncement10': 1, 'ZcyAnnouncement11': 1, 'ZcyAnnouncement20': 1, 'ZcyAnnouncement21': 1, 'ZcyAnnouncement23': 1, '61-266648': 1}
2026-05-06 15:08:54 - gx_gp_monitor.filters.filters - INFO - 日期筛选: 1300 -> 352 条公告
2026-05-06 15:08:54 - gx_gp_monitor.filters.filters - INFO - 关键词筛选: 352 -> 0 条公告
2026-05-06 15:08:54 - gx_gp_monitor.filters.filters - INFO - 来源筛选: 0 -> 0 条公告
2026-05-06 15:08:54 - gx_gp_monitor.main - INFO - 筛选后剩余 0 条公告
2026-05-06 15:08:54 - gx_gp_monitor.main - INFO - 手动爬取模式:跳过筛选后公告的数据库保存
2026-05-06 15:08:54 - gx_gp_monitor.main - INFO - 爬取任务完成: {'success': True, 'total_crawled': 1300, 'filtered': 0, 'saved': 0, 'markdown_generated': False, 'notification_sent': False, 'filter_stats': {'keyword_filtered': 352, 'date_filtered': 948, 'duplicate_filtered': 0, 'source_filtered': 0}, 'filtered_announcements': []}
2026-05-06 15:09:28 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:09:28 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: thc6lzWswZ3ZylEM+A5xlLi2CKg5D6FMa1JFGzAuW6/IrfJMqq...
2026-05-06 15:09:28 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 16e97f27eb0f7307ebb9b87c5a072b613b2c8a18
2026-05-06 15:09:28 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 16e97f27eb0f7307ebb9b87c5a072b613b2c8a18
2026-05-06 15:09:28 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:09:28 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:09:28 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:09:28 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=help_guide, user=NongGuangGuo
2026-05-06 15:09:28 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: help_guide, user: NongGuangGuo
2026-05-06 15:09:28 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求使用说明
2026-05-06 15:09:33 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:09:33 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: 5ju3K87vTeR4WaPsI8IqATUO1g30XklsBfeGNDSzcH09aZgr3x...
2026-05-06 15:09:33 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 5c49ef855bd9a5763992d62e734aef75666a4a2c
2026-05-06 15:09:33 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 5c49ef855bd9a5763992d62e734aef75666a4a2c
2026-05-06 15:09:33 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:09:33 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:09:33 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:09:33 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=today_stats, user=WeiJueSen
2026-05-06 15:09:33 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: today_stats, user: WeiJueSen
2026-05-06 15:09:33 - gx_gp_monitor.wechat.message_handler - INFO - 用户 WeiJueSen 请求今日统计
2026-05-09 10:31:46 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 384
2026-05-09 10:31:46 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: Cu+8S6elykWeq3afFdD/lbMtOni21mETVdpRjEn+AHtiYRlBYV...
2026-05-09 10:31:46 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 21012d5bc0f6d7e71328b0ec2ccb62b938898f89
2026-05-09 10:31:46 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 21012d5bc0f6d7e71328b0ec2ccb62b938898f89
2026-05-09 10:31:46 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-09 10:31:46 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-09 10:31:46 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-09 10:31:46 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=subscribe, event_key=None, user=LuLiuCui
2026-05-09 10:31:46 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: subscribe, key: None, user: LuLiuCui
-139
View File
@@ -1,139 +0,0 @@
2026-05-06 15:07:43 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:07:43 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: vlN4cpR79+nVcy2Cvf22D4nsbOxqtyYFlVO3nvPdIz2NLVZTCr...
2026-05-06 15:07:43 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 060aff2e6666d1df9c957ebb61d214664c64e72f
2026-05-06 15:07:43 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 060aff2e6666d1df9c957ebb61d214664c64e72f
2026-05-06 15:07:43 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:07:43 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:07:43 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:07:43 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=crawl_now, user=NongGuangGuo
2026-05-06 15:07:43 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: crawl_now, user: NongGuangGuo
2026-05-06 15:07:43 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 触发立即搜索
2026-05-06 15:07:43 - gx_gp_monitor.main - INFO - 开始执行搜索任务 (手动搜索: False)
2026-05-06 15:07:43 - gx_gp_monitor.core.reliability - INFO - 健康检查通过
2026-05-06 15:07:43 - gx_gp_monitor.crawler.spider - INFO - 开始爬取 13 个公告来源
2026-05-06 15:07:43 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-05-06 15:07:44 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:44 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 0.53秒
2026-05-06 15:07:44 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-05-06 15:07:44 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:44 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.43秒
2026-05-06 15:07:44 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-05-06 15:07:45 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:45 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.29秒
2026-05-06 15:07:45 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-05-06 15:07:45 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:45 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.38秒
2026-05-06 15:07:45 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-05-06 15:07:45 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:45 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 100 条公告,耗时 0.31秒
2026-05-06 15:07:45 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
2026-05-06 15:07:46 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:46 - gx_gp_monitor - INFO - 单一来源公示 爬取完成,共获取 100 条公告,耗时 0.34秒
2026-05-06 15:07:46 - gx_gp_monitor - INFO - 开始爬取 电子卖场公示
2026-05-06 15:07:46 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:46 - gx_gp_monitor - INFO - 电子卖场公示 爬取完成,共获取 100 条公告,耗时 0.51秒
2026-05-06 15:07:46 - gx_gp_monitor - INFO - 开始爬取 履约验收公示
2026-05-06 15:07:47 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:47 - gx_gp_monitor - INFO - 履约验收公示 爬取完成,共获取 100 条公告,耗时 0.30秒
2026-05-06 15:07:47 - gx_gp_monitor - INFO - 开始爬取 工程类公告
2026-05-06 15:07:47 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:47 - gx_gp_monitor - INFO - 工程类公告 爬取完成,共获取 100 条公告,耗时 0.27秒
2026-05-06 15:07:47 - gx_gp_monitor - INFO - 开始爬取 框架协议征集公告
2026-05-06 15:07:47 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:47 - gx_gp_monitor - INFO - 框架协议征集公告 爬取完成,共获取 100 条公告,耗时 0.35秒
2026-05-06 15:07:47 - gx_gp_monitor - INFO - 开始爬取 框架协议入围结果公告
2026-05-06 15:07:47 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:47 - gx_gp_monitor - INFO - 框架协议入围结果公告 爬取完成,共获取 100 条公告,耗时 0.32秒
2026-05-06 15:07:47 - gx_gp_monitor - INFO - 开始爬取 框架协议成交结果汇总公告
2026-05-06 15:07:48 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:48 - gx_gp_monitor - INFO - 框架协议成交结果汇总公告 爬取完成,共获取 100 条公告,耗时 0.35秒
2026-05-06 15:07:48 - gx_gp_monitor - INFO - 开始爬取 采购意向公开
2026-05-06 15:07:48 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:07:48 - gx_gp_monitor - INFO - 采购意向公开 爬取完成,共获取 100 条公告,耗时 0.33秒
2026-05-06 15:07:48 - gx_gp_monitor.crawler.spider - INFO - 爬取完成: 共处理 13 个来源,成功 13 个,失败 0 个,获取 1300 条公告
2026-05-06 15:07:48 - gx_gp_monitor.main - INFO - 搜索到 1300 条原始公告
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 开始按来源保存 1300 条公告,每个来源最多保留 100 条
2026-05-06 15:07:48 - gx_gp_monitor.core.database - ERROR - 数据库连接错误: connection already closed
2026-05-06 15:07:48 - gx_gp_monitor.core.database - ERROR - 批量保存公告失败: connection already closed
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement1 保存了 0 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - ERROR - 数据库连接错误: connection already closed
2026-05-06 15:07:48 - gx_gp_monitor.core.database - ERROR - 批量保存公告失败: connection already closed
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement2 保存了 0 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - ERROR - 数据库连接错误: connection already closed
2026-05-06 15:07:48 - gx_gp_monitor.core.database - ERROR - 批量保存公告失败: connection already closed
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement3 保存了 0 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - ERROR - 数据库连接错误: connection already closed
2026-05-06 15:07:48 - gx_gp_monitor.core.database - ERROR - 批量保存公告失败: connection already closed
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement4 保存了 0 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - ERROR - 数据库连接错误: connection already closed
2026-05-06 15:07:48 - gx_gp_monitor.core.database - ERROR - 批量保存公告失败: connection already closed
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement5 保存了 0 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement6 保存了 0 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 1 条
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement7 保存了 1 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 1 条
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement10 保存了 1 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 1 条
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement11 保存了 1 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement20 保存了 0 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement21 保存了 0 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 0 条
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 ZcyAnnouncement23 保存了 0 条公告
2026-05-06 15:07:48 - gx_gp_monitor.core.database - INFO - 批量保存公告完成,成功保存 1 条
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 来源 61-266648 保存了 1 条公告
2026-05-06 15:07:48 - gx_gp_monitor.storage.postgresql - INFO - 按来源保存完成,总计保存 4 条公告
2026-05-06 15:07:48 - gx_gp_monitor.main - INFO - 保存自动爬取公告完成:共保存 4 条,按来源统计: {'ZcyAnnouncement1': 0, 'ZcyAnnouncement2': 0, 'ZcyAnnouncement3': 0, 'ZcyAnnouncement4': 0, 'ZcyAnnouncement5': 0, 'ZcyAnnouncement6': 0, 'ZcyAnnouncement7': 1, 'ZcyAnnouncement10': 1, 'ZcyAnnouncement11': 1, 'ZcyAnnouncement20': 0, 'ZcyAnnouncement21': 0, 'ZcyAnnouncement23': 0, '61-266648': 1}
2026-05-06 15:07:48 - gx_gp_monitor.main - INFO - 筛选出 1300 条新公告
2026-05-06 15:07:48 - gx_gp_monitor.filters.filters - INFO - 来源筛选: 1300 -> 1300 条公告
2026-05-06 15:07:49 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 512
2026-05-06 15:07:49 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: GwLOHlMWE3qBsHJ3DegXZk5RGOb0hEg2g9SbYIvxkhynxr/43t...
2026-05-06 15:07:49 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 052516f0e87dd3793a1035dccb0f3b3d9fd806de
2026-05-06 15:07:49 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 052516f0e87dd3793a1035dccb0f3b3d9fd806de
2026-05-06 15:07:49 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:07:49 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:07:49 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=text
2026-05-06 15:07:49 - gx_gp_monitor.wechat.callback_server - INFO - 处理文本消息: content=河池分行大化瑶族自治县中医医院结算系
统项目..., user=NongGuangGuo
2026-05-06 15:07:49 - gx_gp_monitor.wechat.message_handler - INFO - 处理文本消息: 河池分行大化瑶族自治县中医医院结算系
统项目, user: NongGuangGuo
2026-05-06 15:07:49 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 关键词搜索: ['河池分行大化瑶族自治县中医医院结算系', '统项目']
2026-05-06 15:07:49 - gx_gp_monitor.main - INFO - 开始执行搜索任务 (手动搜索: True)
2026-05-06 15:07:49 - gx_gp_monitor.crawler.spider - INFO - 开始爬取 13 个公告来源
2026-05-06 15:07:49 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-05-06 15:07:49 - gx_gp_monitor.filters.filters - INFO - 去重筛选: 移除了 803 条重复公告
2026-05-06 15:07:49 - gx_gp_monitor.filters.filters - INFO - 关键词筛选: 497 -> 0 条公告
2026-05-06 15:07:49 - gx_gp_monitor.filters.filters - INFO - 筛选完成: 总数 1300 -> 筛选后 0 (关键词: 497, 日期: 0, 去重: 803, 来源: 0)
2026-05-06 15:07:49 - gx_gp_monitor.main - INFO - 筛选后剩余 0 条公告
2026-05-06 15:07:49 - gx_gp_monitor.storage.md_generator - INFO - Markdown文件已保存到: onu.md (共 0 条公告)
2026-05-06 15:07:49 - gx_gp_monitor.main - INFO - 爬取任务完成: {'success': True, 'total_crawled': 1300, 'filtered': 0, 'saved': 0, 'markdown_generated': True, 'notification_sent': False, 'filter_stats': {'keyword_filtered': 1797, 'date_filtered': 0, 'duplicate_filtered': 803, 'source_filtered': 0}}
2026-05-06 15:07:51 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:07:51 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: p4+cMpoxGV5kJJ2lLlM6u6/HHN4OJMSHH/wxWwSxKkZGGxajZn...
2026-05-06 15:07:51 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: fc48810bdc9c0216f44d1adde162007b4cca0790
2026-05-06 15:07:51 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: fc48810bdc9c0216f44d1adde162007b4cca0790
2026-05-06 15:07:51 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:07:51 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:07:51 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:07:51 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=crawl_now, user=NongGuangGuo
2026-05-06 15:07:51 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: crawl_now, user: NongGuangGuo
2026-05-06 15:07:51 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 触发立即搜索
2026-05-06 15:07:51 - gx_gp_monitor.main - INFO - 开始执行搜索任务 (手动搜索: False)
2026-05-06 15:07:51 - gx_gp_monitor.crawler.spider - INFO - 开始爬取 13 个公告来源
2026-05-06 15:07:51 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-05-06 15:08:20 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 30.54秒
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-05-06 15:08:20 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.34秒
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-05-06 15:08:20 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.31秒
2026-05-06 15:08:20 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-05-06 15:08:21 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:21 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.33秒
2026-05-06 15:08:21 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
2026-05-06 15:08:21 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:21 - gx_gp_monitor - INFO - 招标文件预公示 爬取完成,共获取 100 条公告,耗时 0.31秒
2026-05-06 15:08:21 - gx_gp_monitor - INFO - 开始爬取 单一来源公示
-48
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@@ -1,48 +0,0 @@
2026-05-06 15:07:40 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: QMt5ylkt6tq8Vl8TdJuv5/WIdXPum6+KEhz/iY06ZJZ6cc6oAi...
2026-05-06 15:07:40 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: d9502bdfb3f5fe20997c0668e5f7af42d6444726
2026-05-06 15:07:40 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: d9502bdfb3f5fe20997c0668e5f7af42d6444726
2026-05-06 15:07:40 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:07:40 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:07:40 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:07:40 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=keyword_manage, user=NongGuangGuo
2026-05-06 15:07:40 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: keyword_manage, user: NongGuangGuo
2026-05-06 15:07:40 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 请求关键词管理
2026-05-06 15:07:46 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:07:46 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: p4+cMpoxGV5kJJ2lLlM6u6/HHN4OJMSHH/wxWwSxKkZGGxajZn...
2026-05-06 15:07:46 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: fc48810bdc9c0216f44d1adde162007b4cca0790
2026-05-06 15:07:46 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: fc48810bdc9c0216f44d1adde162007b4cca0790
2026-05-06 15:07:46 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:07:46 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:07:46 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:07:46 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=crawl_now, user=NongGuangGuo
2026-05-06 15:07:46 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: crawl_now, user: NongGuangGuo
2026-05-06 15:07:46 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 触发立即搜索
2026-05-06 15:07:46 - gx_gp_monitor.main - INFO - 开始执行搜索任务 (手动搜索: False)
2026-05-06 15:07:46 - gx_gp_monitor.core.reliability - INFO - 健康检查通过
2026-05-06 15:07:46 - gx_gp_monitor.crawler.spider - INFO - 开始爬取 13 个公告来源
2026-05-06 15:07:46 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-05-06 15:07:48 - gx_gp_monitor.wechat.callback_server - ERROR - ✅ XML解析成功,提取的encrypt长度: 472
2026-05-06 15:07:48 - gx_gp_monitor.wechat.callback_server - ERROR - 提取的encrypt前50字符: vlN4cpR79+nVcy2Cvf22D4nsbOxqtyYFlVO3nvPdIz2NLVZTCr...
2026-05-06 15:07:48 - gx_gp_monitor.wechat.callback_server - ERROR - 计算的签名: 060aff2e6666d1df9c957ebb61d214664c64e72f
2026-05-06 15:07:48 - gx_gp_monitor.wechat.callback_server - ERROR - 接收的签名: 060aff2e6666d1df9c957ebb61d214664c64e72f
2026-05-06 15:07:48 - gx_gp_monitor.wechat.callback_server - ERROR - 签名匹配: True
2026-05-06 15:07:48 - gx_gp_monitor.wechat.callback_server - ERROR - 尝试使用默认token计算签名...
2026-05-06 15:07:48 - gx_gp_monitor.wechat.callback_server - INFO - 收到企业微信消息: 类型=event
2026-05-06 15:07:48 - gx_gp_monitor.wechat.callback_server - INFO - 处理事件消息: event=click, event_key=crawl_now, user=NongGuangGuo
2026-05-06 15:07:48 - gx_gp_monitor.wechat.message_handler - INFO - 处理事件: click, key: crawl_now, user: NongGuangGuo
2026-05-06 15:07:48 - gx_gp_monitor.wechat.message_handler - INFO - 用户 NongGuangGuo 触发立即搜索
2026-05-06 15:07:48 - gx_gp_monitor.main - INFO - 开始执行搜索任务 (手动搜索: False)
2026-05-06 15:07:48 - gx_gp_monitor.crawler.spider - INFO - 开始爬取 13 个公告来源
2026-05-06 15:07:48 - gx_gp_monitor - INFO - 开始爬取 采购公告
2026-05-06 15:08:17 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:17 - gx_gp_monitor - INFO - 采购公告 爬取完成,共获取 100 条公告,耗时 30.47秒
2026-05-06 15:08:17 - gx_gp_monitor - INFO - 开始爬取 结果公告
2026-05-06 15:08:17 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:17 - gx_gp_monitor - INFO - 结果公告 爬取完成,共获取 100 条公告,耗时 0.34秒
2026-05-06 15:08:17 - gx_gp_monitor - INFO - 开始爬取 合同公告
2026-05-06 15:08:17 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:17 - gx_gp_monitor - INFO - 合同公告 爬取完成,共获取 100 条公告,耗时 0.31秒
2026-05-06 15:08:17 - gx_gp_monitor - INFO - 开始爬取 更正公告
2026-05-06 15:08:18 - gx_gp_monitor.crawler.parsers - INFO - 成功解析 100/100 条公告记录
2026-05-06 15:08:18 - gx_gp_monitor - INFO - 更正公告 爬取完成,共获取 100 条公告,耗时 0.33秒
2026-05-06 15:08:18 - gx_gp_monitor - INFO - 开始爬取 招标文件预公示
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@@ -1,8 +0,0 @@
📋 关键词搜索: `未知` - 总公告数: `0`
**更新时间: 2026-05-06 15:08:57**
## 无匹配公告
在指定时间范围内没有找到符合条件的公告。
+44
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@@ -0,0 +1,44 @@
[project]
name = "gx-gp-notify"
version = "2.0.0"
description = "广西政府采购网公告监控系统"
requires-python = ">=3.12"
dependencies = [
"fastapi>=0.115.0",
"uvicorn[standard]>=0.30.0",
"sqlalchemy[asyncio]>=2.0.30",
"asyncpg>=0.29.0",
"alembic>=1.13.0",
"httpx>=0.27.0",
"apscheduler>=3.10.0",
"pydantic-settings>=2.3.0",
"beautifulsoup4>=4.12.0",
"lxml>=5.2.0",
"pycryptodome>=3.20.0",
"python-dateutil>=2.9.0",
]
[project.optional-dependencies]
dev = [
"pytest>=8.2.0",
"pytest-asyncio>=0.23.0",
"pytest-cov>=5.0.0",
"ruff>=0.4.0",
]
[tool.setuptools.packages.find]
include = ["app*"]
[tool.ruff]
target-version = "py312"
line-length = 100
[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "UP"]
[tool.ruff.lint.per-file-ignores]
"app/wechat/*.py" = ["N802", "N803", "N806"]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
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+13
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@@ -0,0 +1,13 @@
import pytest
@pytest.fixture
def sample_announcement_data():
return {
"title": "测试公告标题",
"publish_date": "2026-05-09",
"purchase_name": "测试单位",
"content_url": "https://example.com/detail/123",
"source_code": "ZcyAnnouncement1",
"source_name": "采购公告",
}
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+13
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@@ -0,0 +1,13 @@
import pytest
from httpx import ASGITransport, AsyncClient
from app.main import app
@pytest.mark.asyncio
async def test_health():
transport = ASGITransport(app=app)
async with AsyncClient(transport=transport, base_url="http://test") as client:
response = await client.get("/health")
assert response.status_code == 200
assert response.json() == {"status": "ok"}
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+78
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@@ -0,0 +1,78 @@
from datetime import datetime
import pytest
from app.crawler.base import BaseSpider, CrawlResult, PipelineConfig, PipelineResult
class FakeSpider(BaseSpider):
name = "test_spider"
source_code = "test_source"
source_name = "测试来源"
async def crawl(self) -> CrawlResult:
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
total_count=5,
new_count=3,
crawled_at=datetime.now(),
)
def get_pipeline_config(self) -> PipelineConfig:
return PipelineConfig(
filter_enabled=True,
keywords=["测试"],
dedup_enabled=True,
notify_mode="filtered",
mark_sent=False,
)
@pytest.mark.asyncio
async def test_base_spider_crawl():
spider = FakeSpider()
result = await spider.crawl()
assert result.source_code == "test_source"
assert result.total_count == 5
assert result.new_count == 3
assert result.success is True
def test_pipeline_config_defaults():
config = PipelineConfig()
assert config.filter_enabled is True
assert config.keywords == []
assert config.dedup_enabled is True
assert config.notify_mode == "filtered"
assert config.mark_sent is False
def test_pipeline_result_defaults():
result = PipelineResult()
assert result.stored == 0
assert result.filtered == 0
assert result.notified == 0
assert result.markdown_generated is False
def test_generate_content_hash():
h = BaseSpider.generate_content_hash(
"title", "2026-05-09", "unit", "https://x.com", "source"
)
assert len(h) == 64
assert all(c in "0123456789abcdef" for c in h)
def test_generate_content_hash_deterministic():
h1 = BaseSpider.generate_content_hash("t", "d", "p", "u", "s")
h2 = BaseSpider.generate_content_hash("t", "d", "p", "u", "s")
assert h1 == h2
def test_crawl_result_failure():
result = CrawlResult(
source_code="s", source_name="n",
error_message="连接超时"
)
assert result.success is False
@@ -0,0 +1,64 @@
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from app.crawler.base import PipelineConfig
from app.crawler.dahuagov_spider import DahuagovSpider
@pytest.mark.asyncio
async def test_dahuagov_spider_attributes():
spider = DahuagovSpider()
assert spider.name == "dahuagov"
assert spider.source_code == "dahuagov"
assert spider.source_name == "大化县政府网采购公告"
@pytest.mark.asyncio
async def test_dahuagov_spider_pipeline_config():
spider = DahuagovSpider()
config = spider.get_pipeline_config()
assert isinstance(config, PipelineConfig)
assert config.filter_enabled is False
assert config.notify_mode == "all"
assert config.mark_sent is True
@pytest.mark.asyncio
async def test_dahuagov_spider_crawl():
spider = DahuagovSpider()
html = """
<html><body>
<ul class="more-list">
<li><span>2026-05-08</span>
<a href="./detail/1.html" title="公告1">公告1</a></li>
<li><span>2026-05-07</span>
<a href="./detail/2.html" title="公告2">公告2</a></li>
</ul>
</body></html>
"""
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.text = html
with patch("httpx.AsyncClient.get", AsyncMock(return_value=mock_response)):
result = await spider.crawl()
assert result.total_count == 2
assert len(result.announcements) == 2
assert result.success is True
@pytest.mark.asyncio
async def test_dahuagov_spider_crawl_empty():
spider = DahuagovSpider()
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.text = "<html><body></body></html>"
with patch("httpx.AsyncClient.get", AsyncMock(return_value=mock_response)):
result = await spider.crawl()
assert result.total_count == 0
assert result.success is True
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@@ -0,0 +1,73 @@
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from app.crawler.base import PipelineConfig
from app.crawler.gxgp_spider import GXGPSpider
@pytest.mark.asyncio
async def test_gxgp_spider_attributes():
spider = GXGPSpider()
assert spider.name == "gxgp"
assert spider.source_code == "gxgp"
assert spider.source_name == "广西政府采购网"
@pytest.mark.asyncio
async def test_gxgp_spider_pipeline_config():
spider = GXGPSpider()
config = spider.get_pipeline_config()
assert isinstance(config, PipelineConfig)
assert config.filter_enabled is True
assert config.notify_mode == "filtered"
assert config.mark_sent is False
@pytest.mark.asyncio
async def test_gxgp_spider_crawl_empty():
spider = GXGPSpider()
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {
"success": True,
"result": {"data": {"data": [], "total": 0, "pageNo": 1, "pageSize": 100,
"pages": 0, "empty": True, "hasNext": False, "hasPrevious": False}},
}
with patch("httpx.AsyncClient.post", AsyncMock(return_value=mock_response)):
result = await spider.crawl(sources=["ZcyAnnouncement1"])
assert result.total_count == 0
assert len(result.announcements) == 0
assert result.success is True
@pytest.mark.asyncio
async def test_gxgp_spider_crawl_with_data():
spider = GXGPSpider()
mock_data = {
"success": True,
"result": {
"data": {
"data": [{
"title": "测试采购公告",
"publishDate": 1746720000000,
"purchaseName": "测试单位",
"articleId": 12345,
}],
"total": 1, "pageNo": 1, "pageSize": 100,
"pages": 1, "empty": False, "hasNext": False, "hasPrevious": False,
}
},
}
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = mock_data
with patch("httpx.AsyncClient.post", AsyncMock(return_value=mock_response)):
result = await spider.crawl(sources=["ZcyAnnouncement1"])
assert result.total_count >= 0
assert result.success is True
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from datetime import datetime
from app.crawler.parsers import (
extract_pagination,
parse_dahuagov_html,
parse_gxgp_api_response,
)
def make_api_response(records_data):
return {
"success": True,
"result": {
"data": {
"data": records_data,
"total": len(records_data),
"pageNo": 1,
"pageSize": 100,
"pages": 1,
"empty": len(records_data) == 0,
"hasNext": False,
"hasPrevious": False,
}
},
}
def test_parse_gxgp_single_record():
response = make_api_response([
{
"title": "测试采购公告",
"publishDate": 1746720000000,
"purchaseName": "测试采购单位",
"articleId": 12345,
}
])
crawled_at = datetime(2026, 5, 9, 10, 0, 0)
results = parse_gxgp_api_response(
response,
source_code="ZcyAnnouncement1",
source_name="采购公告",
crawled_at=crawled_at,
category_id=66485,
)
assert len(results) == 1
assert results[0]["title"] == "测试采购公告"
assert results[0]["source_code"] == "ZcyAnnouncement1"
assert "content_hash" in results[0]
def test_parse_gxgp_empty_response():
response = make_api_response([])
crawled_at = datetime(2026, 5, 9, 10, 0, 0)
results = parse_gxgp_api_response(
response, "ZcyAnnouncement1", "采购公告", crawled_at, 66485
)
assert len(results) == 0
def test_parse_gxgp_missing_title():
response = make_api_response([
{"title": "", "publishDate": 1746720000000, "purchaseName": "x", "articleId": 1}
])
crawled_at = datetime(2026, 5, 9, 10, 0, 0)
results = parse_gxgp_api_response(
response, "ZcyAnnouncement1", "采购公告", crawled_at, 66485
)
assert len(results) == 0
def test_extract_pagination():
response = make_api_response([])
pagination = extract_pagination(response)
assert pagination["total"] == 0
assert pagination["page_no"] == 1
assert pagination["has_next"] is False
def test_parse_dahuagov_html():
html = """
<html><body>
<ul class="more-list">
<li>
<span>2026-05-08</span>
<a href="./detail/123.html" title="大化县某项目采购公告">大化县某项目采购公告</a>
</li>
<li>
<span>2026-05-07</span>
<a href="./detail/124.html" title="大化县另一采购公告">大化县另一采购公告</a>
</li>
</ul>
</body></html>
"""
crawled_at = datetime(2026, 5, 9, 10, 0, 0)
results = parse_dahuagov_html(html, crawled_at)
assert len(results) == 2
assert results[0]["title"] == "大化县某项目采购公告"
assert results[0]["source_code"] == "dahuagov"
assert results[0]["source_name"] == "大化县政府网采购公告"
assert results[0]["purchase_name"] == "大化瑶族自治县"
def test_parse_dahuagov_html_no_list():
html = "<html><body></body></html>"
crawled_at = datetime(2026, 5, 9, 10, 0, 0)
results = parse_dahuagov_html(html, crawled_at)
assert len(results) == 0
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import pytest
from app.crawler.base import BaseSpider, CrawlResult, PipelineConfig
from app.services.crawl_service import CrawlService
class MockGXGPSpider(BaseSpider):
name = "mock_gxgp"
source_code = "mock_gxgp"
source_name = "Mock GXGP"
async def crawl(self, **kwargs):
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
total_count=10,
new_count=5,
announcements=[],
)
def get_pipeline_config(self):
return PipelineConfig(
filter_enabled=True,
keywords=["大化"],
notify_mode="filtered",
)
class MockDahuagovSpider(BaseSpider):
name = "mock_dahuagov"
source_code = "mock_dahuagov"
source_name = "Mock Dahuagov"
async def crawl(self, **kwargs):
return CrawlResult(
source_code=self.source_code,
source_name=self.source_name,
total_count=3,
new_count=3,
announcements=[],
)
def get_pipeline_config(self):
return PipelineConfig(
filter_enabled=False,
notify_mode="all",
mark_sent=True,
)
@pytest.mark.asyncio
async def test_crawl_service_registers_spiders():
service = CrawlService()
service.register(MockGXGPSpider())
service.register(MockDahuagovSpider())
assert len(service.spiders) == 2
@pytest.mark.asyncio
async def test_crawl_service_run_all():
service = CrawlService()
service.register(MockGXGPSpider())
service.register(MockDahuagovSpider())
results = await service.run_all()
assert len(results) == 2
assert results[0].total_count == 10
assert results[1].total_count == 3
assert all(r.success for r in results)
@pytest.mark.asyncio
async def test_crawl_service_run_specific():
service = CrawlService()
service.register(MockGXGPSpider())
service.register(MockDahuagovSpider())
results = await service.run_spider("mock_dahuagov")
assert len(results) == 1
assert results[0].source_code == "mock_dahuagov"
@pytest.mark.asyncio
async def test_crawl_service_run_unknown():
service = CrawlService()
results = await service.run_spider("nonexistent")
assert len(results) == 1
assert results[0].success is False
@@ -0,0 +1,39 @@
from datetime import datetime
from app.services.filter_service import filter_by_date, filter_by_keywords
def test_filter_by_keywords_match():
announcements = [
{"title": "大化县采购公告", "purchase_name": "大化县财政局",
"source_code": "test", "source_name": "test"},
{"title": "南宁市采购公告", "purchase_name": "南宁市财政局",
"source_code": "test", "source_name": "test"},
]
result = filter_by_keywords(announcements, ["大化"])
assert len(result) == 1
assert result[0]["title"] == "大化县采购公告"
def test_filter_by_keywords_no_keywords():
announcements = [
{"title": "大化县采购公告", "purchase_name": "x",
"source_code": "test", "source_name": "test"},
]
result = filter_by_keywords(announcements, [])
assert len(result) == 1
def test_filter_by_date_range():
today = datetime(2026, 5, 9)
announcements = [
{"title": "t1", "publish_date": datetime(2026, 5, 9),
"source_code": "test", "source_name": "test"},
{"title": "t2", "publish_date": datetime(2026, 5, 1),
"source_code": "test", "source_name": "test"},
{"title": "t3", "publish_date": datetime(2026, 4, 30),
"source_code": "test", "source_name": "test"},
]
result = filter_by_date(announcements, start_date=today, end_date=today)
assert len(result) == 1
assert result[0]["title"] == "t1"
@@ -0,0 +1,42 @@
from unittest.mock import AsyncMock, patch
import pytest
from app.services.notification_service import NotificationService
@pytest.mark.asyncio
async def test_notification_send():
svc = NotificationService()
announcements = [
{
"title": "测试公告",
"publish_date": None,
"purchase_name": "测试单位",
"content_url": "https://x.com/1",
"source_code": "test",
"source_name": "测试来源",
"announcement_type": "purchase",
}
]
with patch.object(svc.client, "send_textcard", AsyncMock(return_value=True)):
count = await svc.send(announcements)
assert count == 1
@pytest.mark.asyncio
async def test_notification_send_empty():
svc = NotificationService()
count = await svc.send([])
assert count == 0
@pytest.mark.asyncio
async def test_notification_send_disabled():
svc = NotificationService()
announcements = [{"title": "test"}]
with patch.object(svc.client, "send_textcard", AsyncMock(return_value=False)):
count = await svc.send(announcements)
assert count == 0
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from datetime import datetime
from unittest.mock import AsyncMock, patch
import pytest
from app.crawler.base import CrawlResult, PipelineConfig
from app.services.pipeline import PostCrawlPipeline
@pytest.mark.asyncio
async def test_pipeline_filtered_mode():
config = PipelineConfig(
filter_enabled=True,
keywords=["大化"],
dedup_enabled=True,
notify_mode="filtered",
mark_sent=False,
)
result = CrawlResult(
source_code="test", source_name="test",
total_count=3, new_count=3,
announcements=[
{
"title": "大化县公告", "publish_date": datetime(2026, 5, 9),
"purchase_name": "大化县", "content_url": "https://1.com",
"source_code": "test", "source_name": "测试",
"announcement_type": "purchase", "crawl_mode": "auto",
"is_new": True, "is_today": True,
"content_hash": "abc123",
},
{
"title": "南宁市公告", "publish_date": datetime(2026, 5, 9),
"purchase_name": "南宁市", "content_url": "https://2.com",
"source_code": "test", "source_name": "测试",
"announcement_type": "purchase", "crawl_mode": "auto",
"is_new": True, "is_today": True,
"content_hash": "def456",
},
],
)
mock_db = AsyncMock()
mock_notify = AsyncMock()
pipeline = PostCrawlPipeline(db_session=mock_db, notification_service=mock_notify)
with patch.object(pipeline, "_save_to_db", AsyncMock(return_value=2)):
with patch.object(pipeline, "_send_notifications", AsyncMock(return_value=1)):
pipe_result = await pipeline.process(
result.announcements, config
)
assert pipe_result.stored == 2
assert pipe_result.filtered == 1
assert pipe_result.notified == 1
@pytest.mark.asyncio
async def test_pipeline_all_mode():
config = PipelineConfig(
filter_enabled=False,
keywords=[],
dedup_enabled=True,
notify_mode="all",
mark_sent=True,
)
result = CrawlResult(
source_code="dahuagov", source_name="大化县政府网",
total_count=2, new_count=2,
announcements=[
{
"title": f"公告{i}", "publish_date": datetime(2026, 5, 9),
"purchase_name": "大化县", "content_url": f"https://x.com/{i}",
"source_code": "dahuagov", "source_name": "大化县政府网采购公告",
"announcement_type": "purchase", "crawl_mode": "auto",
"is_new": True, "is_today": True,
"content_hash": f"hash{i}",
}
for i in range(2)
],
)
mock_db = AsyncMock()
mock_notify = AsyncMock()
pipeline = PostCrawlPipeline(db_session=mock_db, notification_service=mock_notify)
with patch.object(pipeline, "_save_to_db", AsyncMock(return_value=2)):
with patch.object(pipeline, "_send_notifications", AsyncMock(return_value=2)):
with patch.object(pipeline, "_mark_sent", AsyncMock(return_value=2)):
pipe_result = await pipeline.process(
result.announcements, config
)
assert pipe_result.stored == 2
assert pipe_result.filtered == 0
assert pipe_result.notified == 2
pipeline._mark_sent.assert_awaited_once()