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brandurbrandur
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Reorganize sqlc code somewhat and get it generating again (#21)
Move sqlc-related code into a subdirectory exclusively earmarked for it, bring it an `sqlc.yaml`, remove the unused queries from the file, regenerate code, and start checking code in CI. This will be useful in case we ever need to make modifications to schema or queries for future changes.
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‎.github/workflows/ci.yaml‎

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@@ -135,3 +135,33 @@ jobs:
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- name: Type check
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run: make type-check
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sqlc_generates:
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runs-on: ubuntu-latest
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timeout-minutes: 2
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env:
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BIN_PATH: /home/runner/bin
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SQLC_VERSION: 1.25.0
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Create BIN_PATH and add to PATH
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run: |
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mkdir -p "$BIN_PATH"
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echo "$BIN_PATH" >> $GITHUB_PATH
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- name: Install sqlc
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run: |
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curl -L https://github.com/kyleconroy/sqlc/releases/download/v${{ env.SQLC_VERSION }}/sqlc_${{ env.SQLC_VERSION }}_linux_amd64.tar.gz | tar -xz -C $BIN_PATH
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chmod +x $BIN_PATH/sqlc
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- name: Generate sqlc
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run: make generate/sqlc
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- name: Run sqlc diff
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run: |
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echo "Please make sure that all sqlc changes are checked in!"
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git diff --exit-code

‎Makefile‎

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@@ -10,6 +10,14 @@ help: ## Print this message
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fmt: ## Autoformat code with Rye/Ruff
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rye fmt
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.PHONY: generate
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generate: ## Produce all generated artifacts
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generate: generate/sqlc
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.PHONY: generate/sqlc
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generate/sqlc: ## Generate sqlc code
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cd src/riverqueue/driver/riversqlalchemy/dbsqlc && sqlc generate
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.PHONY: lint
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lint: ## Run linter with Rye/Ruff
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rye lint
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.PHONY: type-check
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type-check: ## Run type check with MyPy
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rye run mypy -p riverqueue -p examples -p tests
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.PHONY: verify
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verify: ## Verify all generated artifacts
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verify: verify/sqlc
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.PHONY: verify/sqlc
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verify/sqlc: # Verify sqlc code
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cd src/riverqueue/driver/riversqlalchemy/dbsqlc && sqlc verify

‎docs/development.md‎

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@@ -62,6 +62,12 @@ $ rye fmt
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Rye uses [Ruff](https://github.com/astral-sh/ruff) under the hood for code formatting.
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## Generate sqlc code
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```shell
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$ make generate
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```
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## Publish package
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1. Pull existing `master` and tags, choose a version, and create a branch:

‎pyproject.toml‎

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@@ -39,3 +39,6 @@ allow-direct-references = true
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[tool.hatch.build.targets.wheel]
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packages = ["src/riverqueue"]
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[tool.ruff]
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exclude = ["./src/riverqueue/driver/riversqlalchemy/dbsqlc"]

‎src/riverqueue/driver/driver_protocol.py‎

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@@ -28,6 +28,7 @@ class GetParams:
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class JobInsertParams:
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kind: str
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args: Optional[Any] = None
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created_at: Optional[datetime] = None
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finalized_at: Optional[datetime] = None
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metadata: Optional[Any] = None
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max_attempts: Optional[int] = field(default=25)

src/riverqueue/driver/riversqlalchemy/models.py renamed to src/riverqueue/driver/riversqlalchemy/dbsqlc/models.py

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# Code generated by sqlc. DO NOT EDIT.
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# versions:
3-
# sqlc v1.26.0
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# sqlc v1.25.0
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import dataclasses
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import datetime
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import enum

src/riverqueue/driver/riversqlalchemy/pg_misc.py renamed to src/riverqueue/driver/riversqlalchemy/dbsqlc/pg_misc.py

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# Code generated by sqlc. DO NOT EDIT.
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# versions:
3-
# sqlc v1.26.0
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# sqlc v1.25.0
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# source: pg_misc.sql
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from typing import Any
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import sqlalchemy
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import sqlalchemy.ext.asyncio
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from . import models
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PG_ADVISORY_XACT_LOCK = """-- name: pg_advisory_xact_lock \\:exec
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SELECT
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pg_advisory_xact_lock(:p1)
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SELECT pg_advisory_xact_lock(:p1)
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"""
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‎src/riverqueue/driver/riversqlalchemy/dbsqlc/pg_misc.sql‎

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-- name: PGAdvisoryXactLock :exec
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SELECT pg_advisory_xact_lock(@key);

‎src/riverqueue/driver/riversqlalchemy/dbsqlc/river_job.py‎

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# Code generated by sqlc. DO NOT EDIT.
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# versions:
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# sqlc v1.25.0
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# source: river_job.sql
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import dataclasses
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import datetime
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from typing import Any, List, Optional
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import sqlalchemy
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import sqlalchemy.ext.asyncio
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from . import models
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JOB_GET_BY_KIND_AND_UNIQUE_PROPERTIES = """-- name: job_get_by_kind_and_unique_properties \\:one
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SELECT id, args, attempt, attempted_at, attempted_by, created_at, errors, finalized_at, kind, max_attempts, metadata, priority, queue, state, scheduled_at, tags
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FROM river_job
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WHERE kind = :p1
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AND CASE WHEN :p2\\:\\:boolean THEN args = :p3 ELSE true END
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AND CASE WHEN :p4\\:\\:boolean THEN tstzrange(:p5\\:\\:timestamptz, :p6\\:\\:timestamptz, '[)') @> created_at ELSE true END
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AND CASE WHEN :p7\\:\\:boolean THEN queue = :p8 ELSE true END
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AND CASE WHEN :p9\\:\\:boolean THEN state\\:\\:text = any(:p10\\:\\:text[]) ELSE true END
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"""
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@dataclasses.dataclass()
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class JobGetByKindAndUniquePropertiesParams:
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kind: str
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by_args: bool
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args: Any
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by_created_at: bool
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created_at_begin: datetime.datetime
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created_at_end: datetime.datetime
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by_queue: bool
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queue: str
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by_state: bool
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state: List[str]
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JOB_INSERT_FAST = """-- name: job_insert_fast \\:one
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INSERT INTO river_job(
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args,
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created_at,
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finalized_at,
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kind,
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max_attempts,
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metadata,
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priority,
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queue,
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scheduled_at,
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state,
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tags
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) VALUES (
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:p1\\:\\:jsonb,
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coalesce(:p2\\:\\:timestamptz, now()),
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:p3,
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:p4\\:\\:text,
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:p5\\:\\:smallint,
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coalesce(:p6\\:\\:jsonb, '{}'),
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:p7\\:\\:smallint,
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:p8\\:\\:text,
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coalesce(:p9\\:\\:timestamptz, now()),
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:p10\\:\\:river_job_state,
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coalesce(:p11\\:\\:varchar(255)[], '{}')
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) RETURNING id, args, attempt, attempted_at, attempted_by, created_at, errors, finalized_at, kind, max_attempts, metadata, priority, queue, state, scheduled_at, tags
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"""
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@dataclasses.dataclass()
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class JobInsertFastParams:
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args: Any
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created_at: Optional[datetime.datetime]
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finalized_at: Optional[datetime.datetime]
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kind: str
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max_attempts: int
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metadata: Any
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priority: int
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queue: str
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scheduled_at: Optional[datetime.datetime]
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state: models.RiverJobState
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tags: List[str]
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class Querier:
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def __init__(self, conn: sqlalchemy.engine.Connection):
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self._conn = conn
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def job_get_by_kind_and_unique_properties(self, arg: JobGetByKindAndUniquePropertiesParams) -> Optional[models.RiverJob]:
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row = self._conn.execute(sqlalchemy.text(JOB_GET_BY_KIND_AND_UNIQUE_PROPERTIES), {
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"p1": arg.kind,
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"p2": arg.by_args,
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"p3": arg.args,
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"p4": arg.by_created_at,
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"p5": arg.created_at_begin,
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"p6": arg.created_at_end,
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"p7": arg.by_queue,
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"p8": arg.queue,
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"p9": arg.by_state,
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"p10": arg.state,
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}).first()
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if row is None:
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return None
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return models.RiverJob(
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id=row[0],
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args=row[1],
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attempt=row[2],
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attempted_at=row[3],
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attempted_by=row[4],
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created_at=row[5],
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errors=row[6],
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finalized_at=row[7],
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kind=row[8],
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max_attempts=row[9],
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metadata=row[10],
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priority=row[11],
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queue=row[12],
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state=row[13],
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scheduled_at=row[14],
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tags=row[15],
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)
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def job_insert_fast(self, arg: JobInsertFastParams) -> Optional[models.RiverJob]:
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row = self._conn.execute(sqlalchemy.text(JOB_INSERT_FAST), {
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"p1": arg.args,
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"p2": arg.created_at,
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"p3": arg.finalized_at,
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"p4": arg.kind,
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"p5": arg.max_attempts,
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"p6": arg.metadata,
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"p7": arg.priority,
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"p8": arg.queue,
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"p9": arg.scheduled_at,
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"p10": arg.state,
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"p11": arg.tags,
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}).first()
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if row is None:
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return None
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return models.RiverJob(
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id=row[0],
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args=row[1],
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attempt=row[2],
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attempted_at=row[3],
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attempted_by=row[4],
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created_at=row[5],
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errors=row[6],
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finalized_at=row[7],
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kind=row[8],
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max_attempts=row[9],
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metadata=row[10],
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priority=row[11],
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queue=row[12],
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state=row[13],
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scheduled_at=row[14],
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tags=row[15],
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)
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class AsyncQuerier:
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def __init__(self, conn: sqlalchemy.ext.asyncio.AsyncConnection):
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self._conn = conn
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async def job_get_by_kind_and_unique_properties(self, arg: JobGetByKindAndUniquePropertiesParams) -> Optional[models.RiverJob]:
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row = (await self._conn.execute(sqlalchemy.text(JOB_GET_BY_KIND_AND_UNIQUE_PROPERTIES), {
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"p1": arg.kind,
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"p2": arg.by_args,
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"p3": arg.args,
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"p4": arg.by_created_at,
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"p5": arg.created_at_begin,
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"p6": arg.created_at_end,
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"p7": arg.by_queue,
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"p8": arg.queue,
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"p9": arg.by_state,
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"p10": arg.state,
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})).first()
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if row is None:
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return None
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return models.RiverJob(
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id=row[0],
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args=row[1],
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attempt=row[2],
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attempted_at=row[3],
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attempted_by=row[4],
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created_at=row[5],
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errors=row[6],
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finalized_at=row[7],
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kind=row[8],
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max_attempts=row[9],
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metadata=row[10],
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priority=row[11],
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queue=row[12],
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state=row[13],
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scheduled_at=row[14],
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tags=row[15],
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)
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async def job_insert_fast(self, arg: JobInsertFastParams) -> Optional[models.RiverJob]:
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row = (await self._conn.execute(sqlalchemy.text(JOB_INSERT_FAST), {
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"p1": arg.args,
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"p2": arg.created_at,
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"p3": arg.finalized_at,
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"p4": arg.kind,
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"p5": arg.max_attempts,
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"p6": arg.metadata,
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"p7": arg.priority,
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"p8": arg.queue,
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"p9": arg.scheduled_at,
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"p10": arg.state,
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"p11": arg.tags,
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})).first()
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if row is None:
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return None
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return models.RiverJob(
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id=row[0],
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args=row[1],
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attempt=row[2],
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attempted_at=row[3],
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attempted_by=row[4],
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created_at=row[5],
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errors=row[6],
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finalized_at=row[7],
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kind=row[8],
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max_attempts=row[9],
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metadata=row[10],
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priority=row[11],
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queue=row[12],
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state=row[13],
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scheduled_at=row[14],
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tags=row[15],
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)

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