from six.moves import zip

import column
import identifiers
import logger

log = logger.Logger(__name__, logger.INFO)

# Prefix for transform columns created during imports.
_import_transform_col_prefix = 'gristHelper_Import_'

def _gen_colids(transform_rule):
  """
  For a transform_rule with colIds = None,
  fills in colIds generated from labels and returns the updated
  transform_rule.
  """

  dest_cols = transform_rule["destCols"]

  if any(dc["colId"] for dc in dest_cols):
    raise ValueError("transform_rule already has colIds in _gen_colids")

  col_labels = [dest_col["label"] for dest_col in dest_cols]
  col_ids = identifiers.pick_col_ident_list(col_labels, avoid={'id'})

  for dest_col, col_id in zip(dest_cols, col_ids):
    dest_col["colId"] = col_id

  return transform_rule


def _strip_prefixes(transform_rule):
  "If transform_rule has prefixed _col_ids, strips prefix"

  dest_cols = transform_rule["destCols"]
  for dest_col in dest_cols:
    colId = dest_col["colId"]
    if colId and colId.startswith(_import_transform_col_prefix):
      dest_col["colId"] = colId[len(_import_transform_col_prefix):]


class ImportActions(object):

  def __init__(self, useractions, docmodel, engine):
    self._useractions = useractions
    self._docmodel = docmodel
    self._engine = engine



  ########################
  ##        NOTES
  # transform_rule is an object like this: {
  #   destCols: [ { colId, label, type, formula }, ... ],
  #   ..., # other params unused in sandbox
  # }
  #
  # colId is defined if into_new_table, otherwise is None

  # GenImporterView gets a hidden table with a preview of the import data (~100 rows)
  # It adds formula cols and viewsections to the hidden table for the user to
  # preview and edit import options. GenImporterView can start with a default transform_rule
  # from table columns, or use one that's passed in (for reimporting).

  # client/components/Importer.ts then puts together transform_rule, which
  # specifies destination column formulas, types, labels, and colIds. It only contains colIds
  # if importing into an existing table, and they are sometimes prefixed with
  # _import_transform_col_prefix (if transform_rule comes from client)


  def _MakeDefaultTransformRule(self, hidden_table_id, dest_table_id):
    """
    Makes a basic transform_rule.dest_cols copying all the source cols
    hidden_table_id: table with src data
    dest_table_id: table data is going to
      If dst_table is null, copy all src columns
      If dst_table exists, copy all dst columns, and make copy formulas if any names match

    returns transform_rule with only destCols filled in
    """

    tables = self._docmodel.tables
    hidden_table_rec = tables.lookupOne(tableId=hidden_table_id)

    # will use these to set default formulas (if column names match in src and dest table)
    src_cols = {c.colId: c for c in hidden_table_rec.columns}

    target_table = tables.lookupOne(tableId=dest_table_id) if dest_table_id else hidden_table_rec
    target_cols = target_table.columns
    # makes dest_cols for each column in target_cols (defaults to same columns as hidden_table)


    #loop through visible, non-formula target columns
    dest_cols = []
    for c in target_cols:
      if column.is_visible_column(c.colId) and (not c.isFormula or c.formula == ""):
        source_col = src_cols.get(c.colId)
        dest_col = {
          "label":    c.label,
          "colId":    c.colId if dest_table_id else None, #should be None if into new table
          "type":     c.type,
          "widgetOptions": getattr(c, "widgetOptions", ""),
          "formula":  ("$" + source_col.colId) if source_col else '',
        }
        if source_col and c.type.startswith("Ref:"):
          ref_table_id = c.type.split(':')[1]
          visible_col = c.visibleCol
          if visible_col:
            dest_col["visibleCol"] = visible_col.id
            dest_col["formula"] = '{}.lookupOne({}=${c}) or (${c} and str(${c}))'.format(
                ref_table_id, visible_col.colId, c=source_col.colId)

        dest_cols.append(dest_col)

    return {"destCols": dest_cols}
    # doesnt generate other fields of transform_rule, but sandbox only used destCols


  def _MakeImportTransformColumns(self, hidden_table_id, transform_rule, gen_all):
    """
    Makes prefixed columns in the grist hidden import table (hidden_table_id)

    hidden_table_id: id of temporary hidden table in which columns are made
    transform_rule: defines columns to make (colids must be filled in!)

    gen_all: If true, all columns will be generated
      If false, formulas that just copy will be skipped

    returns list of newly created colrefs (rowids into _grist_Tables_column)
    """

    tables = self._docmodel.tables
    hidden_table_rec = tables.lookupOne(tableId=hidden_table_id)
    src_cols = {c.colId for c in hidden_table_rec.columns}
    log.debug("destCols:" + repr(transform_rule['destCols']))

    dest_cols = transform_rule['destCols']

    log.debug("_MakeImportTransformColumns: {}".format("gen_all" if gen_all else "optimize"))

    # Calling rebuild_usercode once per added column is wasteful and can be very slow.
    self._engine._should_rebuild_usercode = False

    #create prefixed formula column for each of dest_cols
    #take formula from transform_rule
    new_cols = []
    try:
      for c in dest_cols:
        # skip copy columns (unless gen_all)
        formula = c["formula"].strip()
        isCopyFormula = (formula.startswith("$") and formula[1:] in src_cols)

        if gen_all or not isCopyFormula:
          # If colId specified, use that. Otherwise, use the (sanitized) label.
          col_id = c["colId"] or identifiers.pick_col_ident(c["label"])
          visible_col_ref = c.get("visibleCol", 0)
          new_col_id = _import_transform_col_prefix + col_id
          new_col_spec = {
            "label": c["label"],
            "type": c["type"],
            "widgetOptions": c.get("widgetOptions", ""),
            "isFormula": True,
            "formula": c["formula"],
            "visibleCol": visible_col_ref,
          }
          result = self._useractions.doAddColumn(hidden_table_id, new_col_id, new_col_spec)
          new_col_id, new_col_ref = result["colId"], result["colRef"]

          if visible_col_ref:
            visible_col_id = self._docmodel.columns.table.get_record(visible_col_ref).colId
            self._useractions.SetDisplayFormula(hidden_table_id, None, new_col_ref,
                '${}.{}'.format(new_col_id, visible_col_id))

          new_cols.append(new_col_ref)
    finally:
      self._engine._should_rebuild_usercode = True
    self._engine.rebuild_usercode()

    return new_cols


  def DoGenImporterView(self, source_table_id, dest_table_id, transform_rule, options):
    """
    Generates formula columns for transformed importer columns, and optionally a new viewsection.

    source_table_id: id of temporary hidden table, containing source data and used for preview.
    dest_table_id: id of table to import to, or None for new table.
    transform_rule: transform_rule to reuse (if it still applies), if None will generate new one
    options: a dictionary with optional keys:
      createViewSection: defaults to True, in which case creates a new view-section to show the
        generated columns, for use in review, and remove any previous ones.
      genAll: defaults to True; if False, transform formulas that just copy will not be generated.
      refsAsInts: if set, treat Ref columns as type Int for a new dest_table. This is used when
        finishing imports from multi-table sources (e.g. from json) to avoid issues such as
        importing linked tables in the wrong order. Caller is expected to fix these up separately.

    Returns and object with:
      transformRule: updated (normalized) transform rule, or a newly generated one.
      viewSectionRef: rowId of the newly added section, present only if createViewSection is set.
    """
    createViewSection = options.get("createViewSection", True)
    genAll = options.get("genAll", True)
    refsAsInts = options.get("refsAsInts", True)

    if createViewSection:
      src_table_rec = self._docmodel.tables.lookupOne(tableId=source_table_id)

      # ======== Cleanup old sections/columns

      # Transform columns are those that start with a special prefix.
      old_cols = [c for c in src_table_rec.columns
                  if c.colId.startswith(_import_transform_col_prefix)]
      old_sections = {field.parentId for c in old_cols for field in c.viewFields}
      self._docmodel.remove(old_sections)
      self._docmodel.remove(old_cols)

    #======== Prepare/normalize transform_rule, Create new formula columns
    # Defaults to duplicating dest_table columns (or src_table columns for a new table)
    # If transform_rule provided, use that

    if transform_rule is None:
      transform_rule = self._MakeDefaultTransformRule(source_table_id, dest_table_id)

    # ensure prefixes, colIds are correct
    _strip_prefixes(transform_rule)

    if not dest_table_id: # into new table: 'colId's are undefined
      _gen_colids(transform_rule)

      # Treat destination Ref:* columns as Int instead, for new tables, to avoid issues when
      # importing linked tables in the wrong order. Caller is expected to fix up afterwards.
      if refsAsInts:
        for col in transform_rule["destCols"]:
          if col["type"].startswith("Ref:"):
            col["type"] = "Int"

    else:
      if None in (dc["colId"] for dc in transform_rule["destCols"]):
        errstr = "colIds must be defined in transform_rule for importing into existing table: "
        raise ValueError(errstr + repr(transform_rule))

    new_cols = self._MakeImportTransformColumns(source_table_id, transform_rule, gen_all=genAll)

    result = {"transformRule": transform_rule}
    if createViewSection:
      #=========  Create new transform view section.
      new_section = self._docmodel.add(self._docmodel.view_sections,
                                      tableRef=src_table_rec.id,
                                      parentKey='record',
                                      borderWidth=1, defaultWidth=100,
                                      sortColRefs='[]')[0]
      self._docmodel.add(new_section.fields, colRef=new_cols)
      result["viewSectionRef"] = new_section.id

    return result