- nmw_mirror_transfer: parse DateTime values with pd.to_datetime(errors=coerce)
  since read_csv does not parse_dates (avoids driver-dependent insert failures).
- db/nmw_legacy: fix attribute typos (dst_operator, recov_column, resistivity)
  while preserving the legacy DB column names; fix latitude_dd27 comment typo.
- reference_lexicon_transfer: correct stale exclusion comment (ref_date_drilled
  is included; only ref_nm_quads is excluded).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

The SSMA_TimeStamp column is a SQL Server rowversion artifact with no value as
staging data (the loader already skipped it). Remove it from the NMW_* mirror
models and both migrations; drop the now-unused LargeBinary import.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Confirmed source PKs from the NM_Wells SQL dump DDL:
- WellHeaders/WellRecords/WellSamples have declared PRIMARY KEY constraints
  (WellDataID / RecrdSetID / SamplSetID) matching the models.
- WellLocations and WellZDatum declare no PK, only unique indexes on OBJECTID
  and GlobalID. Switch WellZDatum PK from GlobalID to OBJECTID for consistency
  with WellLocations and safety (OBJECTID identity is never NULL; the GlobalID
  unique index permits one NULL). Update the migration accordingly.

Remove the TODO(verify) note; PKs are now confirmed.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Add transfers/nmw_sql_dump.py: streams INSERT [dbo].[tbl_*] (...) VALUES (...)
statements out of a SQL Server data-dump .sql file, yielding {column: value}
dicts. Handles N'...' / escaped '', embedded commas/parens, CAST(expr AS type),
multi-row VALUES, 0x binary -> None, and UTF-16/UTF-8 (BOM auto-detect).

Refactor transfer_nmw_mirror to be source-agnostic: when NMW_SQL_DUMP points at
a .sql data dump it loads from there, otherwise falls back to per-table CSVs.
Same model-driven type coercion and chunked ON CONFLICT upsert for both.

Note: the provided NMWells.sql is schema-only; NMW_SQL_DUMP expects a separate
data dump containing INSERT statements.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

…er.py

Move the NM_Wells (geothermal) orchestration out of transfers/transfer.py into a
new standalone transfers/transfer_geothermal.py. Revert all NM_Wells wiring from
transfer.py and mark that module deprecated (module docstring + DeprecationWarning
in transfer_all) so new migrations get their own orchestrator.

transfer_geothermal.py runs the reference->lexicon load
(TRANSFER_GEOTHERMAL_REFERENCE) and the NMW_* mirror load (TRANSFER_NMW_MIRROR);
both default on. Run: python -m transfers.transfer_geothermal.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

reference_lexicon_transfer now selects its row source the same way as
nmw_mirror_transfer: a SQL Server data dump when NMW_SQL_DUMP is set (parsed by
nmw_sql_dump.iter_table_rows), otherwise per-table CSV. _pick_columns operates
on a column-name list and rows are processed as dicts so both sources share one
path.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Add LEXICON_REF_BY_COLUMN mapping every coded mirror attribute to its ref_*
source table (which reference_lexicon_transfer loads as a lexicon category whose
rows become terms). These 40 attributes will become lexicon_term FKs / enums in
the Phase-2 transform. Add LEXICON_CANDIDATES_NO_REF for 8 coded columns that
have no ref_* table and will need a new category/enum (DrillFluid, TestType,
Operation, etc.). Validated: every column + ref table exists.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Remove the dead `category = table[4:]` line and fix the stale docstring; the
category is nmw_<table> (e.g. nmw_ref_states).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

…ile)

Two pygeoapi point layers over the NMW_* staging mirror, geometry from
NMW_WellLocations Lat/Long_dd83:

- ogc_geothermal_wells_bht: one feature per geothermal well with bottom-hole
  temperature data (NMW_GtBhtData), aggregate BHT stats.
- ogc_geothermal_wells_temperature_profile: one feature per geothermal well with
  a downhole temperature-vs-depth series (NMW_GtTempDepths) as an ordered JSON
  array.

Wells link via gt_*.SamplSetID -> NMW_WellSamples -> NMW_WellRecords ->
NMW_WellLocations. Guards required tables; drops views on downgrade.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

The temperature-vs-depth profile view scans/groups NMW_GtTempDepths (~370k
source rows) and builds a per-well JSON series — too heavy to recompute per
pygeoapi request. Convert it to a MATERIALIZED view with a unique index on
well_data_id (enables REFRESH CONCURRENTLY) and a GiST index on geom. The BHT
view stays a regular view (small source). REFRESH after a data reload.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

pygeoapi point layer ogc_geothermal_wells_heat_flow: one feature per geothermal
well with summary heat-flow determinations (NMW_GtSumHeatFlow) - aggregate heat
flow, thermal gradient, thermal conductivity and quality. Geometry from
NMW_WellLocations; linked via NMW_GtSumHeatFlow.RecrdSetID -> NMW_WellRecords.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

pygeoapi point layer ogc_geothermal_wells_interval_heat_flow from NMW_GtHeatFlow
(per-interval values: Q heat flow, gradient, Kpr conductivity, Ka diffusivity),
one feature per well. Distinct from ogc_geothermal_wells_heat_flow (summary,
NMW_GtSumHeatFlow). Linked via IntrvlGUID -> NMW_WsIntervals -> NMW_WellSamples
-> NMW_WellRecords -> NMW_WellLocations.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

- Rename ogc_geothermal_wells_heat_flow -> ogc_geothermal_wells_summary_heat_flow.
- Add a `measurements` JSON series to both heat-flow views: one element per
  determination/interval (depth range, heat flow, gradient, conductivity, etc.),
  ordered by depth, alongside the existing per-well aggregates.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

When NMW_SQL_DUMP is set, the mirror now parses the dump with sqlparse
(nmw_sql_dump.write_table_csv) into a CSV per table, then bulk-loads each via
Postgres COPY ... FROM STDIN (truncate + COPY; Postgres casts text -> types) —
far faster than row-by-row ORM inserts. CSV dir defaults to a temp dir
(override NMW_CSV_DIR). The CSV-exports fallback (no dump) keeps the row-insert
path. Adds sqlparse dependency.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Add refresh_materialized_views (REFRESH the geothermal materialized views,
currently ogc_geothermal_wells_temperature_profile; skip any not present). The
transfer_geothermal orchestrator calls it after the NMW_* mirror load so the
materialized view reflects the freshly loaded data.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

…er-93c916

# Conflicts:
#	pyproject.toml

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Resolve requirements.txt conflict by regenerating from the merged uv.lock
(uv export). Brings staging fixes incl. the CLI test update.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

-generate csv files via script
-fix some data overflow problems

Add geothermal_wells_bht and geothermal_wells_temperature_profile to the
pygeoapi-config.yml template, exposing NM_Wells geothermal views as OGC
API - Features collections.

Fix _resolve() priority in pygeoapi.py so that shell PYGEOAPI_* env vars
(e.g. PYGEOAPI_POSTGRES_HOST=db set in docker-compose) take precedence
over generic POSTGRES_* values from .env, preventing localhost from
shadowing the Docker service hostname.

Add INSTALL_DEV=true build arg to docker-compose so faker and other dev
dependencies are present when the container runs in development mode.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

adding migrations and views

Translates the legacy MSSQL BHT query to a PostgreSQL view returning one
row per individual BHT measurement (not aggregated per well). Joins
NMW_GtBhtData through headers, samples, records, Z-datum filter, well
headers, and locations. Exposes 5 063 features via /ogcapi/collections/bht_measurements.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Translates the legacy MSSQL TempDepth2_SortedWellName query to a
PostgreSQL view returning one row per individual temperature-depth reading.
Includes both NAD27 and NAD83 coordinates, elevation datums (GL, unspc, KB),
and filters out excluded locations. Exposes 363 858 features via
/ogcapi/collections/temp_depth_measurements.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Adds a 1:1 staging mirror of the NM_Wells tbl_sources publication registry.
Wires it into the nmw_mirror_transfer MirrorSpec list so it loads with the
rest of the NMW tables. Data loads once tbl_sources.csv is exported from the
legacy SQL Server and placed in transfers/data/nma_csv_cache/.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Translates the legacy MSSQL HeatFlow query to a PostgreSQL view. Includes
CASE WHEN unit conversions (ft->m, TCU->SI, HFU->mW/m²), publication
attribution from NMW_Sources, and a LEFT JOIN on Well_Z_Datum for elevation.
County WHERE filter removed in favour of API-level filtering. Exposes
1 522 features via /ogcapi/collections/heat_flow.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Translates the legacy MSSQL DST query (which never executed in Access due to
a broken DST_flwHstryConcat saved query). Replaces the broken cross-join with
a string_agg() CTE over NMW_WsDstFlowHistory, concatenating operation
descriptions per interval. GROUP BY with no aggregates translated to
SELECT DISTINCT. Exposes 1 798 features via /ogcapi/collections/dst.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

simplified migrations and change order of mirror transfers to start with well headers