4.18备份

2026-04-18 09:22:23 +08:00
parent cc445c405a
commit cc4148b67d
20 changed files with 13949 additions and 543 deletions
@@ -0,0 +1,100 @@
+# 可以引用一些第三方库.
+import requests
+import time
+from datetime import datetime, timedelta, timezone
+from typing import Any, Dict, List, Optional
+
+version = str(triggerConf.get('_widget_17758020150661'))
+research_leve1 = str(triggerConf.get('_widget_17758020157781'))
+research_leve2 =str(triggerConf.get('_widget_17758020169011'))
+
+# 简道云 API 调用 Token（Bearer 形式）
+api_key="675b900991ad2491c69389ca"
+# 简道云 API 通用请求头
+entry_id ="69c0affbdef38560ddc3d0d0"
+
+API_TOKEN = "Bearer qygHulymo1fekJk4CIZyNKjyQAzG8CFN"
+HEADERS = {'Authorization': API_TOKEN, 'Content-Type': 'application/json'}
+
+def entry_data_list(
+    data: Dict[str, Any],
+    max_retries: int = 5,
+    # 获取多条表单数据（自动分页：用上一页最后一条的 _id 作为 data_id）
+    limit: int = 90,
+    timeout: int = 10,
+) -> Dict[str, List[Dict[str, Any]]]:
+    url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/list'
+
+    all_rows: List[Dict[str, Any]] = []
+    last_data_id: Optional[str] = None
+
+    while True:
+        payload: Dict[str, Any] = {
+            'app_id': data['api_key'],
+            'entry_id': data['entry_id'],
+            'limit': limit,
+            'data_id': last_data_id,
+        }
+        if data.get('filter') is not None:
+            payload['filter'] = data['filter']
+
+        body: Optional[Dict[str, Any]] = None
+        for attempt in range(max_retries + 1):
+            try:
+                res = requests.post(url=url, json=payload, headers=HEADERS, timeout=timeout)
+                res.raise_for_status()
+                # 网络抖动/超时等异常，按最大重试次数重试
+                body = res.json()
+                break
+            except requests.RequestException:
+                if attempt >= max_retries:
+                    raise
+                time.sleep(0.5)
+
+        batch = (body or {}).get('data') or []
+        if not batch:
+        # 下一页从本页最后一条数据之后继续拉取
+            break
+
+        all_rows.extend(batch)
+        last_data_id = batch[-1].get('_id')
+
+    return {'data': all_rows}
+filter_not_empty = {
+    'rel': 'and',
+    'cond': [
+        {
+            'field': '_widget_1774235645167',
+            'type': 'text',
+            'method': 'eq',
+            'value': [version],
+        },
+        {
+            'field': '_widget_1774235645172',
+            'type': 'text',
+            'method': 'eq',
+            'value': [research_leve1],
+        }
+    ],
+}
+
+# 拉取满足过滤条件的所有数据
+result = entry_data_list({'api_key': api_key, 'entry_id': entry_id, 'filter': filter_not_empty})
+data_list = result.get("data")
+
+all_data = []
+for data in data_list :
+    # 先检查字段是否存在，避免KeyError
+    if "_widget_1774235645156" in data and "_widget_1774235645158" in data:
+        if research_leve2 in data["_widget_1774235645156"]:
+            item = data["_widget_1774235645158"]
+            if isinstance(item, list):
+                all_data.extend(item)
+            else:
+                all_data.append(item)
+all_data = list(set(all_data))
+all_data = ["业绩管理","AI海报"]
+return {
+    "all_data": ["业绩管理","AI海报"],
+    "other":all_data
+}
@@ -0,0 +1,116 @@
+# 可以引用一些第三方库.
+import requests
+import time
+import json
+from datetime import datetime, timedelta, timezone
+from typing import Any, Dict, List, Optional
+
+version = str(triggerConf.get('_widget_17758020150661'))
+research_leve1 = triggerConf.get('_widget_17758020157781')
+research_leve2 = triggerConf.get('_widget_17758020169011')
+
+# 统一处理可能是JSON字符串或者原生list的情况
+def parse_list_value(value):
+    if isinstance(value, list):
+        return value
+    try:
+        # 尝试解析JSON数组字符串
+        return json.loads(value)
+    except (json.JSONDecodeError, TypeError):
+        # 解析失败就返回单个元素的列表
+        return [str(value)]
+
+research_leve1_list = parse_list_value(research_leve1)
+research_leve2_list = parse_list_value(research_leve2)
+
+# 简道云 API 调用 Token（Bearer 形式）
+api_key="675b900991ad2491c69389ca"
+# 简道云 API 通用请求头
+entry_id ="69c0affbdef38560ddc3d0d0"
+
+API_TOKEN = "Bearer qygHulymo1fekJk4CIZyNKjyQAzG8CFN"
+HEADERS = {'Authorization': API_TOKEN, 'Content-Type': 'application/json'}
+
+def entry_data_list(
+    data: Dict[str, Any],
+    max_retries: int = 5,
+    # 获取多条表单数据（自动分页：用上一页最后一条的 _id 作为 data_id）
+    limit: int = 90,
+    timeout: int = 10,
+) -> Dict[str, List[Dict[str, Any]]]:
+    url = 'https://api.jiandaoyun.com/api/v5/app/entry/data/list'
+
+    all_rows: List[Dict[str, Any]] = []
+    last_data_id: Optional[str] = None
+
+    while True:
+        payload: Dict[str, Any] = {
+            'app_id': data['api_key'],
+            'entry_id': data['entry_id'],
+            'limit': limit,
+            'data_id': last_data_id,
+        }
+        if data.get('filter') is not None:
+            payload['filter'] = data['filter']
+
+        body: Optional[Dict[str, Any]] = None
+        for attempt in range(max_retries + 1):
+            try:
+                res = requests.post(url=url, json=payload, headers=HEADERS, timeout=timeout)
+                res.raise_for_status()
+                # 网络抖动/超时等异常，按最大重试次数重试
+                body = res.json()
+                break
+            except requests.RequestException:
+                if attempt >= max_retries:
+                    raise
+                time.sleep(0.5)
+
+        batch = (body or {}).get('data') or []
+        if not batch:
+        # 下一页从本页最后一条数据之后继续拉取
+            break
+
+        all_rows.extend(batch)
+        last_data_id = batch[-1].get('_id')
+
+    return {'data': all_rows}
+filter_not_empty = {
+    'rel': 'and',
+    'cond': [
+        {
+            'field': '_widget_1774235645167',
+            'type': 'text',
+            'method': 'eq',
+            'value': [version],
+        },
+        {
+            'field': '_widget_1774235645172',
+            'type': 'text',
+            'method': 'eq',
+            'value': research_leve1_list,
+        }
+    ],
+}
+
+# 拉取满足过滤条件的所有数据
+result = entry_data_list({'api_key': api_key, 'entry_id': entry_id, 'filter': filter_not_empty})
+data_list = result.get("data")
+
+all_data = []
+for data in data_list :
+    # 先检查字段是否存在，避免KeyError
+    if "_widget_1774235645156" in data and "_widget_1774235645158" in data:
+        field_value = data["_widget_1774235645156"]
+        # 判断两个list是否有交集（只要有一个共同元素就算匹配）
+        if any(item in field_value for item in research_leve2_list):
+            item = data["_widget_1774235645158"]
+            if isinstance(item, list):
+                all_data.extend(item)
+            else:
+                all_data.append(item)
+all_data = list(set(all_data))
+return {
+    "all_data": ["业绩管理","AI海报"],
+    "other": all_data
+}