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Upload app.py
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app.py
CHANGED
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@@ -88,13 +88,16 @@ def query_financial_data(company_name, query_type):
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internal_query_type = query_type_mapping.get(query_type, query_type)
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try:
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#
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# 先搜索公司
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search_resp = requests.post(
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f"{MCP_URL}/
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json={
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"
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"
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},
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headers=HEADERS,
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timeout=30
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@@ -104,22 +107,17 @@ def query_financial_data(company_name, query_type):
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return f"❌ Server Error: HTTP {search_resp.status_code}\n\nResponse: {search_resp.text[:500]}"
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try:
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# MCP
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if isinstance(
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text_content = content[0].get("text", "{}")
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company = json.loads(text_content) if isinstance(text_content, str) else text_content
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else:
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company = {}
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else:
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company = company_result
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else:
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company =
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except (ValueError, KeyError) as e:
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return f"❌ JSON Parse Error: {str(e)}\n\nResponse: {search_resp.text[:500]}"
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@@ -135,10 +133,13 @@ def query_financial_data(company_name, query_type):
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# 根据查询类型获取数据
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if internal_query_type == "最新财务数据":
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data_resp = requests.post(
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f"{MCP_URL}/
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json={
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"
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},
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headers=HEADERS,
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timeout=30
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@@ -149,7 +150,7 @@ def query_financial_data(company_name, query_type):
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try:
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data_result = data_resp.json()
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#
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if isinstance(data_result, dict) and "content" in data_result:
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content = data_result.get("content", [])
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if content and len(content) > 0:
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@@ -186,10 +187,13 @@ def query_financial_data(company_name, query_type):
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elif internal_query_type == "3年趋势":
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metrics_resp = requests.post(
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f"{MCP_URL}/
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json={
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"
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},
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headers=HEADERS,
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timeout=60
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@@ -200,7 +204,7 @@ def query_financial_data(company_name, query_type):
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try:
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metrics_result = metrics_resp.json()
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#
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if isinstance(metrics_result, dict) and "content" in metrics_result:
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content = metrics_result.get("content", [])
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if content and len(content) > 0:
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@@ -273,10 +277,13 @@ def query_financial_data(company_name, query_type):
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elif internal_query_type == "5年趋势":
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metrics_resp = requests.post(
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f"{MCP_URL}/
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json={
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},
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headers=HEADERS,
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timeout=60
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@@ -287,7 +294,7 @@ def query_financial_data(company_name, query_type):
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try:
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metrics_result = metrics_resp.json()
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#
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if isinstance(metrics_result, dict) and "content" in metrics_result:
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content = metrics_result.get("content", [])
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if content and len(content) > 0:
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@@ -360,10 +367,13 @@ def query_financial_data(company_name, query_type):
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elif internal_query_type == "公司报表列表":
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# 查询公司所有报表
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filings_resp = requests.post(
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f"{MCP_URL}/
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json={
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},
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headers=HEADERS,
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timeout=60
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@@ -374,7 +384,7 @@ def query_financial_data(company_name, query_type):
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try:
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filings_result = filings_resp.json()
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#
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if isinstance(filings_result, dict) and "content" in filings_result:
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content = filings_result.get("content", [])
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if content and len(content) > 0:
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internal_query_type = query_type_mapping.get(query_type, query_type)
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try:
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# 使用 MCP 协议调用工具
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# 先搜索公司
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search_resp = requests.post(
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f"{MCP_URL}/message",
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json={
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"method": "tools/call",
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"params": {
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"name": "advanced_search",
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"arguments": {"company_input": company_name}
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}
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},
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headers=HEADERS,
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timeout=30
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return f"❌ Server Error: HTTP {search_resp.status_code}\n\nResponse: {search_resp.text[:500]}"
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try:
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result = search_resp.json()
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# MCP 协议返回格式: {"content": [{"type": "text", "text": "..."}]}
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if isinstance(result, dict) and "content" in result:
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content = result.get("content", [])
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if content and len(content) > 0:
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text_content = content[0].get("text", "{}")
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company = json.loads(text_content) if isinstance(text_content, str) else text_content
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else:
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company = {}
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else:
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company = result
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except (ValueError, KeyError) as e:
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return f"❌ JSON Parse Error: {str(e)}\n\nResponse: {search_resp.text[:500]}"
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# 根据查询类型获取数据
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if internal_query_type == "最新财务数据":
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data_resp = requests.post(
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f"{MCP_URL}/message",
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json={
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"method": "tools/call",
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"params": {
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"name": "get_latest_financial_data",
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"arguments": {"cik": cik}
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}
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},
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headers=HEADERS,
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timeout=30
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try:
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data_result = data_resp.json()
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# MCP 协议返回格式
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if isinstance(data_result, dict) and "content" in data_result:
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content = data_result.get("content", [])
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if content and len(content) > 0:
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elif internal_query_type == "3年趋势":
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metrics_resp = requests.post(
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f"{MCP_URL}/message",
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json={
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"method": "tools/call",
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"params": {
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"name": "extract_financial_metrics",
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"arguments": {"cik": cik, "years": 3}
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}
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},
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headers=HEADERS,
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timeout=60
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try:
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metrics_result = metrics_resp.json()
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# MCP 协议返回格式
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if isinstance(metrics_result, dict) and "content" in metrics_result:
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content = metrics_result.get("content", [])
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if content and len(content) > 0:
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elif internal_query_type == "5年趋势":
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metrics_resp = requests.post(
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f"{MCP_URL}/message",
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json={
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"method": "tools/call",
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"params": {
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"name": "extract_financial_metrics",
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"arguments": {"cik": cik, "years": 5}
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}
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},
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headers=HEADERS,
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timeout=60
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try:
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metrics_result = metrics_resp.json()
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# MCP 协议返回格式
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if isinstance(metrics_result, dict) and "content" in metrics_result:
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content = metrics_result.get("content", [])
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if content and len(content) > 0:
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elif internal_query_type == "公司报表列表":
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# 查询公司所有报表
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filings_resp = requests.post(
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f"{MCP_URL}/message",
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json={
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"method": "tools/call",
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"params": {
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"name": "get_company_filings",
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"arguments": {"cik": cik, "limit": 50}
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}
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},
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headers=HEADERS,
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timeout=60
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try:
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filings_result = filings_resp.json()
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# MCP 协议返回格式
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if isinstance(filings_result, dict) and "content" in filings_result:
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content = filings_result.get("content", [])
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if content and len(content) > 0:
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