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Add custom headers to Langflow ingestion requests

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Introduces custom headers containing JWT and owner information to the Langflow ingestion API requests for improved authentication and traceability. Also refactors debug logging and formatting for better readability and error handling in the combined upload, ingest, and delete operation.
This commit is contained in:
Edwin Jose 2025-09-25 15:45:32 -04:00
parent 44a51514a3
commit fff4a63995
1 changed files with 44 additions and 25 deletions
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55
src/services/langflow_file_service.py
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@ -130,9 +130,16 @@ class LangflowFileService:
)
# Avoid logging full payload to prevent leaking sensitive data (e.g., JWT)
headers = {
"X-Langflow-Global-Var-JWT": jwt_token,
"X-Langflow-Global-Var-Owner": owner,
"X-Langflow-Global-Var-Owner-Name": owner_name,
"X-Langflow-Global-Var-Owner-Email": owner_email,
"X-Langflow-Global-Var-Connector-Type": connector_type,
}
resp = await clients.langflow_request(
"POST", f"/api/v1/run/{self.flow_id_ingest}", json=payload
"POST", f"/api/v1/run/{self.flow_id_ingest}", json=payload, headers=headers
)
logger.debug(
"[LF] Run response", status_code=resp.status_code, reason=resp.reason_phrase
@ -190,10 +197,12 @@ class LangflowFileService:
extra={
"file_id": upload_result.get("id"),
"file_path": upload_result.get("path"),
}
},
)
except Exception as e:
logger.error("[LF] Upload failed during combined operation", extra={"error": str(e)})
logger.error(
"[LF] Upload failed during combined operation", extra={"error": str(e)}
)
raise Exception(f"Upload failed: {str(e)}")
# Step 2: Prepare for ingestion
@ -205,7 +214,9 @@ class LangflowFileService:
final_tweaks = tweaks.copy() if tweaks else {}
if settings:
logger.debug("[LF] Applying ingestion settings", extra={"settings": settings})
logger.debug(
"[LF] Applying ingestion settings", extra={"settings": settings}
)
# Split Text component tweaks (SplitText-QIKhg)
if (
@ -216,7 +227,9 @@ class LangflowFileService:
if "SplitText-QIKhg" not in final_tweaks:
final_tweaks["SplitText-QIKhg"] = {}
if settings.get("chunkSize"):
final_tweaks["SplitText-QIKhg"]["chunk_size"] = settings["chunkSize"]
final_tweaks["SplitText-QIKhg"]["chunk_size"] = settings[
"chunkSize"
]
if settings.get("chunkOverlap"):
final_tweaks["SplitText-QIKhg"]["chunk_overlap"] = settings[
"chunkOverlap"
@ -228,9 +241,14 @@ class LangflowFileService:
if settings.get("embeddingModel"):
if "OpenAIEmbeddings-joRJ6" not in final_tweaks:
final_tweaks["OpenAIEmbeddings-joRJ6"] = {}
final_tweaks["OpenAIEmbeddings-joRJ6"]["model"] = settings["embeddingModel"]
final_tweaks["OpenAIEmbeddings-joRJ6"]["model"] = settings[
"embeddingModel"
]
logger.debug("[LF] Final tweaks with settings applied", extra={"tweaks": final_tweaks})
logger.debug(
"[LF] Final tweaks with settings applied",
extra={"tweaks": final_tweaks},
)
# Step 3: Run ingestion
try:
@ -244,10 +262,7 @@ class LangflowFileService:
except Exception as e:
logger.error(
"[LF] Ingestion failed during combined operation",
extra={
"error": str(e),
"file_path": file_path
}
extra={"error": str(e), "file_path": file_path},
)
# Note: We could optionally delete the uploaded file here if ingestion fails
raise Exception(f"Ingestion failed: {str(e)}")
@ -259,7 +274,10 @@ class LangflowFileService:
if delete_after_ingest and file_id:
try:
logger.debug("[LF] Deleting file after successful ingestion", extra={"file_id": file_id})
logger.debug(
"[LF] Deleting file after successful ingestion",
extra={"file_id": file_id},
)
await self.delete_user_file(file_id)
delete_result = {"status": "deleted", "file_id": file_id}
logger.debug("[LF] File deleted successfully")
@ -267,19 +285,20 @@ class LangflowFileService:
delete_error = str(e)
logger.warning(
"[LF] Failed to delete file after ingestion",
extra={
"error": delete_error,
"file_id": file_id
}
extra={"error": delete_error, "file_id": file_id},
)
delete_result = {"status": "delete_failed", "file_id": file_id, "error": delete_error}
delete_result = {
"status": "delete_failed",
"file_id": file_id,
"error": delete_error,
}
# Return combined result
result = {
"status": "success",
"upload": upload_result,
"ingestion": ingest_result,
"message": f"File '{upload_result.get('name')}' uploaded and ingested successfully"
"message": f"File '{upload_result.get('name')}' uploaded and ingested successfully",
}
if delete_after_ingest: