removed new insert

pull/231/head
Yariv Menachem 2024-12-25 13:59:57 +02:00
parent 80fef6d67b
commit 14115b1dcb
1 changed files with 26 additions and 46 deletions

View File

@ -29,55 +29,35 @@ class JobRepository:
self.collection.insert_one(job_dict)
print(f"Inserted new job with title {job.title}.")
# def insertManyIfNotFound(self, jobs: List[JobPost]) -> List[JobPost]:
# """
# Perform bulk upserts for a list of JobPost objects into a MongoDB collection.
# Only insert new jobs and return the list of newly inserted jobs.
# """
# operations = []
# new_jobs = [] # List to store the new jobs inserted into MongoDB
# for job in jobs:
# job_dict = job.model_dump(exclude={"date_posted"})
# operations.append(
# UpdateOne(
# {"id": job.id}, # Match by `id`
# # Only set fields if the job is being inserted (not updated)
# {"$setOnInsert": job_dict},
# upsert=True # Insert if not found, but do not update if already exists
# )
# )
# if operations:
# # Execute all operations in bulk
# result = self.collection.bulk_write(operations)
# print(f"Matched: {result.matched_count}, Upserts: {
# result.upserted_count}, Modified: {result.modified_count}")
# # Get the newly inserted jobs (those that were upserted)
# # The `upserted_count` corresponds to how many new documents were inserted
# for i, job in enumerate(jobs):
# if result.upserted_count > 0 and i < result.upserted_count:
# new_jobs.append(job)
# print(f"New Job ID: {job.id}, Label: {job.title}")
# return new_jobs
def insertManyIfNotFound(self, jobs: List[JobPost]) -> List[JobPost]:
"""
Perform bulk inserts for a list of JobPost objects into a MongoDB collection.
Perform bulk upserts for a list of JobPost objects into a MongoDB collection.
Only insert new jobs and return the list of newly inserted jobs.
Args:
jobs (List[JobPost]): List of JobPost objects to insert.
Returns:
List[JobPost]: List of newly inserted JobPost objects.
Raises:
pymongo.errors.BulkWriteError: If an error occurs during the bulk insert.
"""
new_jobs = []
result = self.collection.insert_many(jobs)
new_jobs = [jobs[i] for i, _ in enumerate(
result.inserted_ids) if result.inserted_ids]
print(f"Inserted Jobs: {len(new_jobs)}")
operations = []
new_jobs = [] # List to store the new jobs inserted into MongoDB
for job in jobs:
job_dict = job.model_dump(exclude={"date_posted"})
operations.append(
UpdateOne(
{"id": job.id}, # Match by `id`
# Only set fields if the job is being inserted (not updated)
{"$setOnInsert": job_dict},
upsert=True # Insert if not found, but do not update if already exists
)
)
if operations:
# Execute all operations in bulk
result = self.collection.bulk_write(operations)
print(f"Matched: {result.matched_count}, Upserts: {
result.upserted_count}, Modified: {result.modified_count}")
# Get the newly inserted jobs (those that were upserted)
# The `upserted_count` corresponds to how many new documents were inserted
for i, job in enumerate(jobs):
if result.upserted_count > 0 and i < result.upserted_count:
new_jobs.append(job)
print(f"New Job ID: {job.id}, Label: {job.title}")
return new_jobs