Files
ss-tools/backend/src/schemas/translate.py
busya 1e6ec34c2b feat(backend): drop dictionary dialect columns, add allowed_languages
- Removes source_dialect and target_dialect from TerminologyDictionary model,
  schemas, routes, helper serialization, and all tests
- Adds allowed_languages config field (BCP-47 language codes) to GlobalSettings
  with validation, consolidated settings response, and API endpoint
- Adds alembic migration f1a2b3c4d5e6 to drop the two columns
2026-06-03 11:48:03 +03:00

711 lines
28 KiB
Python

# #region TranslateSchemas [C:3] [TYPE Module] [SEMANTICS pydantic, translate, schema, translate-job-create]
# @BRIEF Pydantic v2 schemas for translation API request/response serialization.
# @LAYER API
# @RELATION DEPENDS_ON -> [EXT:Library:pydantic]
from datetime import datetime
import re
from typing import Any
from pydantic import BaseModel, ConfigDict, Field, field_validator
def _validate_bcp47_list(v: list[str] | None) -> list[str] | None:
"""Validate that each item in target_languages is a valid BCP-47 tag."""
if not v:
return v
for tag in v:
if not tag or not tag.strip():
raise ValueError(f"Invalid BCP-47 tag: '{tag}' — must be a non-empty string")
if not re.match(r'^[a-zA-Z]{2,8}(-[a-zA-Z0-9]{1,8})*$', tag.strip()):
raise ValueError(
f"Invalid BCP-47 tag: '{tag}'. "
"Expected format like 'en', 'ru', 'zh-CN', 'pt-BR'."
)
return v
# #region TranslateJobCreate [TYPE Class]
# @BRIEF Schema for creating a new translation job.
class TranslateJobCreate(BaseModel):
name: str
description: str | None = None
source_dialect: str = Field(..., description="Source database dialect (e.g. postgresql, clickhouse)")
target_dialect: str = Field(..., description="Target database dialect (e.g. postgresql, clickhouse)")
database_dialect: str | None = Field(None, description="Detected dialect from Superset connection at save time")
source_datasource_id: str | None = Field(None, description="Superset datasource ID")
source_table: str | None = Field(None, description="Source table name")
target_schema: str | None = Field(None, description="Target table schema")
target_table: str | None = Field(None, description="Target table name")
source_key_cols: list[str] | None = Field(default_factory=list, description="Source key column names")
target_key_cols: list[str] | None = Field(default_factory=list, description="Target key column names")
translation_column: str | None = Field(None, description="Source column to translate")
target_column: str | None = Field(None, description="Target column for translated output (defaults to translation_column)")
target_language_column: str | None = Field(None, description="Target column for language code (e.g. 'ru', 'en')")
target_source_column: str | None = Field(None, description="Target column for source/original text")
target_source_language_column: str | None = Field(None, description="Target column for detected source language (BCP-47)")
context_columns: list[str] | None = Field(default_factory=list, description="Context column names")
target_language: str | None = Field(None, description="Target language code [DEPRECATED: use target_languages]")
target_languages: list[str] | None = Field(default_factory=list, description="List of BCP-47 target language codes")
provider_id: str | None = Field(None, description="LLM provider ID")
_validate_target_languages = field_validator("target_languages")(_validate_bcp47_list)
batch_size: int = Field(50, description="Records per batch")
disable_reasoning: bool = Field(False, description="If true, pass reasoning_effort:none to LLM to save output tokens")
upsert_strategy: str = Field("MERGE", description="UPSERT strategy: MERGE, INSERT, UPDATE")
dictionary_ids: list[str] | None = Field(default_factory=list, description="Associated terminology dictionary IDs")
environment_id: str | None = Field(None, description="Superset environment ID")
target_database_id: str | None = Field(None, description="Superset database ID for SQL Lab insert target")
# #endregion TranslateJobCreate
# #region TranslateJobUpdate [TYPE Class]
# @BRIEF Schema for updating an existing translation job.
class TranslateJobUpdate(BaseModel):
name: str | None = None
description: str | None = None
source_dialect: str | None = None
target_dialect: str | None = None
database_dialect: str | None = None
source_datasource_id: str | None = None
source_table: str | None = None
target_schema: str | None = None
target_table: str | None = None
source_key_cols: list[str] | None = None
target_key_cols: list[str] | None = None
translation_column: str | None = None
target_column: str | None = None
target_language_column: str | None = None
target_source_column: str | None = None
target_source_language_column: str | None = None
context_columns: list[str] | None = None
target_language: str | None = None
target_languages: list[str] | None = None
provider_id: str | None = None
_validate_target_languages = field_validator("target_languages")(_validate_bcp47_list)
batch_size: int | None = None
disable_reasoning: bool | None = None
upsert_strategy: str | None = None
status: str | None = None
dictionary_ids: list[str] | None = None
environment_id: str | None = None
target_database_id: str | None = None
# #endregion TranslateJobUpdate
# #region TranslateJobResponse [TYPE Class]
# @BRIEF Schema for translation job API responses.
class TranslateJobResponse(BaseModel):
id: str
name: str
description: str | None = None
source_dialect: str
target_dialect: str
database_dialect: str | None = None
source_datasource_id: str | None = None
source_table: str | None = None
target_schema: str | None = None
target_table: str | None = None
source_key_cols: list[str] | None = None
target_key_cols: list[str] | None = None
translation_column: str | None = None
target_column: str | None = None
target_language_column: str | None = None
target_source_column: str | None = None
target_source_language_column: str | None = None
context_columns: list[str] | None = None
# source_language removed — deprecated, per-row auto-detected
target_languages: list[str] | None = None
provider_id: str | None = None
batch_size: int = 50
disable_reasoning: bool = False
upsert_strategy: str = "MERGE"
status: str
created_by: str | None = None
created_at: datetime
updated_at: datetime | None = None
dictionary_ids: list[str] | None = None
environment_id: str | None = None
target_database_id: str | None = None
model_config = ConfigDict(from_attributes=True)
# #endregion TranslateJobResponse
# #region DatasourceColumnResponse [TYPE Class]
# @BRIEF Schema for datasource column metadata response.
class DatasourceColumnResponse(BaseModel):
name: str
type: str | None = None
is_physical: bool = True
is_dttm: bool = False
description: str | None = None
# #endregion DatasourceColumnResponse
# #region DatasourceColumnsResponse [TYPE Class]
# @BRIEF Schema for datasource columns endpoint response.
class DatasourceColumnsResponse(BaseModel):
datasource_id: int
datasource_name: str | None = None
schema_name: str | None = None
database_dialect: str
columns: list[DatasourceColumnResponse] = []
model_config = ConfigDict(from_attributes=True)
# #endregion DatasourceColumnsResponse
# #region DuplicateJobResponse [TYPE Class]
# @BRIEF Schema for duplicate job response.
class DuplicateJobResponse(BaseModel):
id: str
name: str
message: str = "Job duplicated successfully"
model_config = ConfigDict(from_attributes=True)
# #endregion DuplicateJobResponse
# #region DictionaryCreate [TYPE Class]
# @BRIEF Schema for creating a new terminology dictionary.
class DictionaryCreate(BaseModel):
name: str
description: str | None = None
is_active: bool = True
# #endregion DictionaryCreate
# #region DictionaryImport [TYPE Class]
# @BRIEF Schema for importing entries into a terminology dictionary.
class DictionaryImport(BaseModel):
content: str = Field(..., description="CSV or TSV content as raw string")
delimiter: str | None = Field(None, description="Detected or forced delimiter: ',' or '\\t'. Auto-detect if omitted.")
on_conflict: str = Field("overwrite", description="'overwrite' or 'keep_existing' or 'cancel'")
preview_only: bool = Field(False, description="If true, return preview without applying")
default_source_language: str | None = Field(None, description="Default BCP-47 source language when column missing in data")
default_target_language: str | None = Field(None, description="Default BCP-47 target language when column missing in data")
# #endregion DictionaryImport
# #region DictionaryResponse [TYPE Class]
# @BRIEF Schema for terminology dictionary API responses.
class DictionaryResponse(BaseModel):
id: str
name: str
description: str | None = None
is_active: bool
created_by: str | None = None
created_at: datetime
updated_at: datetime | None = None
entry_count: int | None = None
model_config = ConfigDict(from_attributes=True)
# #endregion DictionaryResponse
# #region DictionaryEntryCreate [TYPE Class]
# @BRIEF Schema for adding/editing a dictionary entry with language pair support.
class DictionaryEntryCreate(BaseModel):
source_term: str = Field(..., description="Source term to translate")
target_term: str = Field(..., description="Target/translated term")
context_notes: str | None = Field(None, description="Optional context notes")
source_language: str = Field("und", description="BCP-47 source language code (default: und)")
target_language: str = Field("und", description="BCP-47 target language code (default: und)")
model_config = ConfigDict(from_attributes=True)
# #endregion DictionaryEntryCreate
# #region DictionaryEntryResponse [TYPE Class]
# @BRIEF Schema for dictionary entry API responses.
class DictionaryEntryResponse(BaseModel):
id: str
dictionary_id: str
source_term: str
source_term_normalized: str
target_term: str
source_language: str | None = None
target_language: str | None = None
context_notes: str | None = None
context_data: dict[str, Any] | None = None
usage_notes: str | None = None
has_context: bool = False
context_source: str | None = None
origin_source_language: str | None = None
created_at: datetime
updated_at: datetime | None = None
model_config = ConfigDict(from_attributes=True)
# #endregion DictionaryEntryResponse
# #region DictionaryImportResult [TYPE Class]
# @BRIEF Schema for dictionary import result.
class DictionaryImportResult(BaseModel):
total: int = 0
created: int = 0
updated: int = 0
skipped: int = 0
errors: list[dict[str, Any]] = Field(default_factory=list)
preview: list[dict[str, Any]] = Field(default_factory=list, description="Preview rows with conflict flags")
# #endregion DictionaryImportResult
# #region PreviewRequest [TYPE Class]
# @BRIEF Schema for triggering a translation preview.
class PreviewRequest(BaseModel):
sample_size: int = Field(10, ge=1, le=100, description="Number of sample rows to preview")
prompt_template: str | None = Field(None, description="Optional custom prompt template")
env_id: str | None = Field(None, description="Superset environment ID for preview data fetch")
# #endregion PreviewRequest
# #region PreviewRowUpdate [TYPE Class]
# @BRIEF Schema for approving/editing/rejecting a preview row.
class PreviewRowUpdate(BaseModel):
action: str = Field(..., description="'approve', 'reject', or 'edit'")
translation: str | None = Field(None, description="Edited translation (required for 'edit' action)")
feedback: str | None = Field(None, description="Optional feedback/comment")
language_code: str | None = Field(None, description="BCP-47 language code for per-language actions (optional, applies to all if omitted)")
# #endregion PreviewRowUpdate
# #region PreviewAcceptResponse [TYPE Class]
# @BRIEF Schema for preview accept response.
class PreviewAcceptResponse(BaseModel):
id: str
job_id: str
status: str
created_by: str | None = None
created_at: datetime
expires_at: datetime | None = None
records: list['PreviewRow'] = []
target_languages: list[str] = Field(default_factory=list, description="Target languages for this preview")
model_config = ConfigDict(from_attributes=True)
# #endregion PreviewAcceptResponse
# #region CostEstimate [TYPE Class]
# @BRIEF Schema for cost estimation in preview response.
class CostEstimate(BaseModel):
sample_size: int = 0
num_languages: int = 1
sample_prompt_tokens: int = 0
sample_output_tokens: int = 0
sample_total_tokens: int = 0
sample_cost: float = 0.0
estimated_total_rows: int = 0
estimated_tokens: int = 0
estimated_cost: float = 0.0
warning: str | None = None
# #endregion CostEstimate
# #region TermCorrectionSubmit [TYPE Class]
# @BRIEF Schema for submitting a term correction in a translation preview.
class TermCorrectionSubmit(BaseModel):
source_term: str
incorrect_target_term: str
corrected_target_term: str
dictionary_id: str | None = Field(None, description="Target dictionary ID (language-filtered)")
origin_run_id: str | None = Field(None, description="Run ID from which this correction originated")
origin_row_key: str | None = Field(None, description="Row key within the run")
context_data: dict[str, Any] | None = Field(None, description="Context data for the dictionary entry")
usage_notes: str | None = Field(None, description="Usage notes for the dictionary entry")
keep_context: bool = Field(True, description="If false, clear context_data and set has_context=False on dictionary entry")
# #endregion TermCorrectionSubmit
# #region TermCorrectionBulkSubmit [TYPE Class]
# @BRIEF Schema for submitting multiple term corrections atomically.
class TermCorrectionBulkSubmit(BaseModel):
corrections: list[TermCorrectionSubmit]
dictionary_id: str = Field(..., description="Target dictionary ID for all corrections")
# #endregion TermCorrectionBulkSubmit
# #region CorrectionConflictResult [TYPE Class]
# @BRIEF Schema for reporting conflicts in correction submission.
class CorrectionConflictResult(BaseModel):
source_term: str
existing_target_term: str
submitted_target_term: str
action: str = "keep_existing"
# #endregion CorrectionConflictResult
# #region CorrectionSubmitResponse [TYPE Class]
# @BRIEF Schema for correction submission response.
class CorrectionSubmitResponse(BaseModel):
entry_id: str | None = None
action: str # "created", "updated", "conflict_detected", "skipped"
source_term: str
target_term: str
conflict: CorrectionConflictResult | None = None
message: str | None = None
# #endregion CorrectionSubmitResponse
# #region ScheduleConfig [TYPE Class]
# @BRIEF Schema for configuring a recurring translation schedule.
class ScheduleConfig(BaseModel):
cron_expression: str = Field(..., description="Cron expression for scheduling (e.g. '0 2 * * *')")
timezone: str = Field("UTC", description="Timezone for the cron schedule (e.g. 'UTC', 'Europe/Moscow')")
is_active: bool = True
execution_mode: str = Field("full", description="Translation execution mode: 'full' or 'new_key_only'")
# #endregion ScheduleConfig
# #region ScheduleResponse [TYPE Class]
# @BRIEF Schema for schedule API responses.
class ScheduleResponse(BaseModel):
id: str
job_id: str
cron_expression: str
timezone: str
is_active: bool
execution_mode: str = "full"
last_run_at: datetime | None = None
next_run_at: datetime | None = None
created_by: str | None = None
created_at: datetime
updated_at: datetime | None = None
model_config = ConfigDict(from_attributes=True)
# #endregion ScheduleResponse
# #region NextExecutionResponse [TYPE Class]
# @BRIEF Schema for next execution preview.
class NextExecutionResponse(BaseModel):
job_id: str
cron_expression: str
timezone: str
next_executions: list[str] = []
# #endregion NextExecutionResponse
# #region TranslationRunResponse [TYPE Class]
# @BRIEF Schema for translation run API responses.
class TranslationRunResponse(BaseModel):
id: str
job_id: str
status: str
trigger_type: str | None = None
started_at: datetime | None = None
completed_at: datetime | None = None
error_message: str | None = None
total_records: int = 0
successful_records: int = 0
failed_records: int = 0
skipped_records: int = 0
cache_hits: int = 0
insert_status: str | None = None
superset_execution_id: str | None = None
config_snapshot: dict[str, Any] | None = None
key_hash: str | None = None
config_hash: str | None = None
dict_snapshot_hash: str | None = None
created_by: str | None = None
created_at: datetime
language_stats: list['TranslationRunLanguageStatsResponse'] | None = None
model_config = ConfigDict(from_attributes=True)
# #endregion TranslationRunResponse
# #region RunDetailResponse [TYPE Class]
# @BRIEF Schema for detailed run response including records, events, and config snapshot.
class RunDetailResponse(BaseModel):
run: TranslationRunResponse
records: list[dict[str, Any]] = Field(default_factory=list, description="Paginated translation records")
events: list[dict[str, Any]] = Field(default_factory=list, description="Run events")
event_invariants: dict[str, Any] | None = None
batch_count: int = 0
# #endregion RunDetailResponse
# #region RunHistoryFilter [TYPE Class]
# @BRIEF Schema for filtering run history.
class RunHistoryFilter(BaseModel):
job_id: str | None = None
status: str | None = None
trigger_type: str | None = None
created_by: str | None = None
date_from: datetime | None = None
date_to: datetime | None = None
page: int = 1
page_size: int = 20
# #endregion RunHistoryFilter
# #region RunListResponse [TYPE Class]
# @BRIEF Schema for paginated run list response.
class RunListResponse(BaseModel):
items: list[TranslationRunResponse] = []
total: int = 0
page: int = 1
page_size: int = 20
# #endregion RunListResponse
# #region AggregatedMetricsResponse [TYPE Class]
# @BRIEF Schema for aggregated per-job metrics.
class AggregatedMetricsResponse(BaseModel):
job_id: str
total_runs: int = 0
successful_runs: int = 0
failed_runs: int = 0
cancelled_runs: int = 0
total_records: int = 0
successful_records: int = 0
failed_records: int = 0
skipped_records: int = 0
cumulative_tokens: int | None = None
cumulative_cost: float | None = None
avg_duration_ms: float | None = None
last_run_at: datetime | None = None
next_scheduled_run: datetime | None = None
# #endregion AggregatedMetricsResponse
# #region TranslationPreviewLanguageResponse [C:1] [TYPE Class]
# @BRIEF Schema for per-language preview data in API responses.
class TranslationPreviewLanguageResponse(BaseModel):
language_code: str
source_language_detected: str | None = None
translated_value: str | None = None
user_edit: str | None = None
final_value: str | None = None
status: str = "pending"
needs_review: bool = False
model_config = ConfigDict(from_attributes=True)
# #endregion TranslationPreviewLanguageResponse
# #region PreviewRow [TYPE Class]
# @BRIEF A single row in a translation preview showing original and translated content side by side.
class PreviewRow(BaseModel):
id: str
source_sql: str | None = None
target_sql: str | None = None
source_object_type: str | None = None
source_object_id: str | None = None
source_object_name: str | None = None
status: str = "PENDING"
feedback: str | None = None
source_language_detected: str | None = None
needs_review: bool = False
languages: list[TranslationPreviewLanguageResponse] = Field(default_factory=list, description="Per-language translation data")
# #endregion PreviewRow
# #region TranslationPreviewResponse [TYPE Class]
# @BRIEF Schema for translation preview session API responses.
class TranslationPreviewResponse(BaseModel):
id: str
job_id: str
run_id: str | None = None
status: str
created_by: str | None = None
created_at: datetime
expires_at: datetime | None = None
records: list[PreviewRow] = []
target_languages: list[str] = Field(default_factory=list, description="Target languages for this preview")
cost_estimate: CostEstimate | None = None
model_config = ConfigDict(from_attributes=True)
# #endregion TranslationPreviewResponse
# #region TranslationBatchResponse [TYPE Class]
# @BRIEF Schema for translation batch API responses.
class TranslationBatchResponse(BaseModel):
id: str
run_id: str
batch_index: int
status: str
total_records: int = 0
successful_records: int = 0
failed_records: int = 0
started_at: datetime | None = None
completed_at: datetime | None = None
created_at: datetime
model_config = ConfigDict(from_attributes=True)
# #endregion TranslationBatchResponse
# #region MetricsResponse [TYPE Class]
# @BRIEF Schema for translation metrics API responses.
class MetricsResponse(BaseModel):
job_id: str
snapshot_date: datetime
total_jobs: int = 0
total_runs: int = 0
total_records: int = 0
successful_records: int = 0
failed_records: int = 0
skipped_records: int = 0
avg_duration_ms: int | None = None
p50_duration_ms: int | None = None
p95_duration_ms: int | None = None
p99_duration_ms: int | None = None
model_config = ConfigDict(from_attributes=True)
# #endregion MetricsResponse
# #region TranslationLanguageResponse [C:1] [TYPE Class]
# @BRIEF Schema for per-language translation data in API responses.
class TranslationLanguageResponse(BaseModel):
language_code: str
source_language_detected: str | None = None
translated_value: str | None = None
user_edit: str | None = None
final_value: str | None = None
status: str = "pending"
needs_review: bool = False
language_overridden: bool = False
model_config = ConfigDict(from_attributes=True)
# #endregion TranslationLanguageResponse
# #region TranslationRunLanguageStatsResponse [C:1] [TYPE Class]
# @BRIEF Schema for per-language statistics in run API responses.
class TranslationRunLanguageStatsResponse(BaseModel):
language_code: str
total_rows: int = 0
translated_rows: int = 0
failed_rows: int = 0
skipped_rows: int = 0
token_count: int = 0
estimated_cost: float = 0.0
model_config = ConfigDict(from_attributes=True)
# #endregion TranslationRunLanguageStatsResponse
# #region OverrideLanguageRequest [C:1] [TYPE Class]
# @BRIEF Schema for manually overriding the detected source language of a translation.
class OverrideLanguageRequest(BaseModel):
source_language: str = Field(..., description="BCP-47 language code to override with")
# #endregion OverrideLanguageRequest
# #region BulkFindReplaceRequest [C:1] [TYPE Class]
# @BRIEF Schema for bulk find-and-replace within translations for a target language.
class BulkFindReplaceRequest(BaseModel):
find_pattern: str = Field(..., description="Text or regex pattern to find", max_length=500)
is_regex: bool = Field(False, description="Whether find_pattern is a regular expression")
replacement_text: str = Field(..., description="Replacement text")
target_language: str = Field(..., description="BCP-47 language code to target")
preview: bool = Field(True, description="If true, return matches without applying replacements")
submit_to_dictionary: bool = Field(False, description="If true, also submit corrections to dictionary")
dictionary_id: str | None = Field(None, description="Target dictionary ID for submitting corrections")
usage_notes: str | None = Field(None, description="Usage notes for dictionary entries")
submit_to_dictionary_with_context: bool = Field(False, description="If true, auto-capture source row context when submitting to dictionary")
@field_validator("find_pattern")
@classmethod
def validate_pattern_length(cls, v: str) -> str:
"""Reject patterns longer than 500 characters to prevent ReDoS."""
if len(v) > 500:
raise ValueError("Pattern too long (max 500 characters)")
return v
# #endregion BulkFindReplaceRequest
# #region InlineEditRequest [C:1] [TYPE Class]
# @BRIEF Schema for inline editing a translated value on a completed run result.
class InlineEditRequest(BaseModel):
final_value: str = Field(..., description="Corrected/edited translation text")
submit_to_dictionary: bool = Field(False, description="If true, also save correction to dictionary")
dictionary_id: str | None = Field(None, description="Target dictionary ID for saving correction")
context_data_override: dict[str, Any] | None = Field(None, description="Override auto-captured context data for dictionary entry")
usage_notes: str | None = Field(None, description="Usage notes for the dictionary entry")
keep_context: bool = Field(True, description="If false, clear context_data and set has_context=False on dictionary entry")
# #endregion InlineEditRequest
# #region BulkReplacePreviewItem [C:1] [TYPE Class]
# @BRIEF A single item in a bulk replace preview list.
class BulkReplacePreviewItem(BaseModel):
record_id: str
language_code: str
source_term: str
current_value: str
new_value: str
source_language_detected: str | None = None
# #endregion BulkReplacePreviewItem
# #region BulkReplaceResponse [C:1] [TYPE Class]
# @BRIEF Response for bulk find-and-replace operation.
class BulkReplaceResponse(BaseModel):
rows_affected: int = 0
corrections_submitted: int = 0
preview: list[BulkReplacePreviewItem] = Field(default_factory=list)
# #endregion BulkReplaceResponse
# #region InlineCorrectionSubmit [C:1] [TYPE Class]
# @BRIEF Schema for submitting an inline correction for a specific translated record.
class InlineCorrectionSubmit(BaseModel):
record_id: str = Field(..., description="Translation record ID")
language_code: str = Field(..., description="BCP-47 language code of the translated value")
source_term: str = Field(..., description="Original source term that was incorrectly translated")
corrected_term: str = Field(..., description="Corrected translation")
dictionary_id: str = Field(..., description="Target dictionary ID to also save the correction")
source_language: str = Field(..., description="BCP-47 source language code")
# #endregion InlineCorrectionSubmit
# #region TargetSchemaValidationRequest [C:1] [TYPE Class]
# @BRIEF Schema for requesting target table schema validation.
class TargetSchemaValidationRequest(BaseModel):
environment_id: str = Field(..., description="Superset environment ID")
target_database_id: str = Field(..., description="Superset database ID for the target DB")
target_schema: str = Field("public", description="Target table schema (default: public)")
target_table: str = Field(..., description="Target table name")
# Column mapping from job config (everything that affects expected columns)
target_key_cols: list[str] | None = Field(default_factory=list, description="Target key column names")
target_column: str | None = Field(None, description="Target column for translated output")
translation_column: str | None = Field(None, description="Source column name (fallback for target_column)")
target_language_column: str | None = Field(None, description="Column for language code")
target_source_column: str | None = Field(None, description="Column for source text")
target_source_language_column: str | None = Field(None, description="Column for detected source language")
# #endregion TargetSchemaValidationRequest
# #region TargetSchemaColumnInfo [C:1] [TYPE Class]
# @BRIEF Schema for a single column in the schema validation response.
class TargetSchemaColumnInfo(BaseModel):
name: str
data_type: str | None = None
is_nullable: bool = True
# #endregion TargetSchemaColumnInfo
# #region TargetSchemaValidationResponse [C:1] [TYPE Class]
# @BRIEF Schema for target table schema validation response.
class TargetSchemaValidationResponse(BaseModel):
table_exists: bool = False
error: str | None = None
expected_columns: list[TargetSchemaColumnInfo] = Field(default_factory=list, description="Columns that the INSERT expects")
actual_columns: list[TargetSchemaColumnInfo] = Field(default_factory=list, description="Columns that exist in the target table")
missing_columns: list[TargetSchemaColumnInfo] = Field(default_factory=list, description="Expected columns NOT found in target table")
extra_columns: list[TargetSchemaColumnInfo] = Field(default_factory=list, description="Actual columns NOT in expected list")
all_present: bool = False
database_name: str | None = Field(default=None, description="Actual database name queried (from Superset)")
database_backend: str | None = Field(default=None, description="Actual database backend dialect (from Superset)")
# #endregion TargetSchemaValidationResponse
# #endregion TranslateSchemas