Auto-update: Mon Oct 28 12:22:39 PDT 2024
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1 changed files with 29 additions and 8 deletions
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@ -589,21 +589,42 @@ async def ensure_project_exists(project_name: str) -> str:
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# First check if project exists
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async with httpx.AsyncClient() as client:
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response = await client.get(url, headers=headers)
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if response.status_code != 200:
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l.error(f"Project list response: {response.text}")
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raise HTTPException(status_code=response.status_code, detail=response.text)
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projects = response.json().get('data', [])
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# Debug log to see what we're getting
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l.debug(f"Found projects: {json.dumps(projects, indent=2)}")
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for project in projects:
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if project['title'] == project_name:
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return project['id']
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project_title = project.get('attributes', {}).get('title')
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if project_title == project_name:
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return project.get('id') # or project.get('attributes', {}).get('id')
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# Project doesn't exist, create it
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project_data = {
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"data": {
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"type": "projects",
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"attributes": {
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"title": project_name,
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"color": "#007AFF", # Nice blue color for phone calls
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"color": "#007AFF",
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"icon": "📞"
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}
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}
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}
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l.debug(f"Creating project with data: {json.dumps(project_data, indent=2)}")
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response = await client.post(url, headers=headers, json=project_data)
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return response.json()['data']['id']
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l.debug(f"Create project response: {response.text}")
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if response.status_code != 201:
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raise HTTPException(status_code=response.status_code, detail=response.text)
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created_project = response.json().get('data', {})
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return created_project.get('id')
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@timing.post("/time/att_csv")
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async def process_att_csv(
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@ -615,14 +636,14 @@ async def process_att_csv(
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cleaned_lookup = load_phone_lookup()
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# Ensure the Phone Calls project exists
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project_name = "📞 Phone Calls"
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project_name = "📞 Phone Calls" # This is correct
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try:
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project_id = await ensure_project_exists(project_name)
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except Exception as e:
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l.error(f"Failed to ensure project exists: {e}")
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raise HTTPException(
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status_code=500,
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detail="Failed to create or find Phone Calls project"
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detail=f"Failed to create or find project '{project_name}'" # Fixed error message
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)
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# Read and process the CSV
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