hook jobs up with real data
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parent
f4d04e90a9
commit
942e9beeab
3 changed files with 178 additions and 24 deletions
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@ -204,4 +204,113 @@ def upsert_client(data):
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"customer": customer_doc,
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"address": address_doc,
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"success": True
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}
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}
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@frappe.whitelist()
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def get_jobs(options):
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options = json.loads(options)
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print("DEBUG: Raw job options received:", options)
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defaultOptions = {
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"fields": ["*"],
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"filters": {},
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"sorting": {},
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"page": 1,
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"page_size": 10,
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"for_table": False
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}
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options = {**defaultOptions, **options}
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print("DEBUG: Final job options:", options)
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jobs = []
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tableRows = []
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# Map frontend field names to backend field names for Project doctype
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def map_job_field_name(frontend_field):
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field_mapping = {
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"name": "name",
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"customInstallationAddress": "custom_installation_address",
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"customer": "customer",
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"status": "status",
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"percentComplete": "percent_complete"
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}
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return field_mapping.get(frontend_field, frontend_field)
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# Process filters from PrimeVue format to Frappe format
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processed_filters = {}
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if options["filters"]:
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for field_name, filter_obj in options["filters"].items():
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if isinstance(filter_obj, dict) and "value" in filter_obj:
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if filter_obj["value"] is not None and filter_obj["value"] != "":
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# Map frontend field names to backend field names
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backend_field = map_job_field_name(field_name)
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# Handle different match modes
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match_mode = filter_obj.get("matchMode", "contains")
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if isinstance(match_mode, str):
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match_mode = match_mode.lower()
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if match_mode in ("contains", "contains"):
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processed_filters[backend_field] = ["like", f"%{filter_obj['value']}%"]
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elif match_mode in ("startswith", "startsWith"):
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processed_filters[backend_field] = ["like", f"{filter_obj['value']}%"]
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elif match_mode in ("endswith", "endsWith"):
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processed_filters[backend_field] = ["like", f"%{filter_obj['value']}"]
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elif match_mode in ("equals", "equals"):
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processed_filters[backend_field] = filter_obj["value"]
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else:
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# Default to contains
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processed_filters[backend_field] = ["like", f"%{filter_obj['value']}%"]
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# Process sorting
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order_by = None
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if options.get("sorting") and options["sorting"]:
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sorting_str = options["sorting"]
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if sorting_str and sorting_str.strip():
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# Parse "field_name asc/desc" format
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parts = sorting_str.strip().split()
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if len(parts) >= 2:
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sort_field = parts[0]
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sort_direction = parts[1].lower()
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# Map frontend field to backend field
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backend_sort_field = map_job_field_name(sort_field)
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order_by = f"{backend_sort_field} {sort_direction}"
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print("DEBUG: Processed job filters:", processed_filters)
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print("DEBUG: Job order by:", order_by)
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count = frappe.db.count("Project", filters=processed_filters)
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print("DEBUG: Total projects count:", count)
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projects = frappe.db.get_all(
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"Project",
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fields=options["fields"],
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filters=processed_filters,
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limit=options["page_size"],
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start=(options["page"] - 1) * options["page_size"],
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order_by=order_by
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)
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for project in projects:
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job = {}
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tableRow = {}
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tableRow["id"] = project["name"]
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tableRow["name"] = project["name"]
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tableRow["customInstallationAddress"] = project.get("custom_installation_address", "")
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tableRow["customer"] = project.get("customer", "")
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tableRow["status"] = project.get("status", "")
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tableRow["percentComplete"] = project.get("percent_complete", 0)
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tableRows.append(tableRow)
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job["project"] = project
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jobs.append(job)
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return {
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"pagination": {
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"total": count,
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"page": options["page"],
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"page_size": options["page_size"],
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"total_pages": (count + options["page_size"] - 1) // options["page_size"]
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},
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"data": tableRows if options["for_table"] else jobs
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}
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