mirror of https://github.com/dbcli/pgcli
256 lines
8.7 KiB
Python
256 lines
8.7 KiB
Python
from functools import partial
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from itertools import product
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from pgcli.packages.parseutils.meta import FunctionMetadata, ForeignKey
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from prompt_toolkit.completion import Completion
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from prompt_toolkit.document import Document
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from unittest.mock import Mock
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import pytest
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parametrize = pytest.mark.parametrize
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qual = ["if_more_than_one_table", "always"]
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no_qual = ["if_more_than_one_table", "never"]
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def escape(name):
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if not name.islower() or name in ("select", "localtimestamp"):
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return '"' + name + '"'
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return name
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def completion(display_meta, text, pos=0):
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return Completion(text, start_position=pos, display_meta=display_meta)
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def function(text, pos=0, display=None):
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return Completion(
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text, display=display or text, start_position=pos, display_meta="function"
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)
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def get_result(completer, text, position=None):
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position = len(text) if position is None else position
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return completer.get_completions(
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Document(text=text, cursor_position=position), Mock()
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)
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def result_set(completer, text, position=None):
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return set(get_result(completer, text, position))
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# The code below is quivalent to
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# def schema(text, pos=0):
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# return completion('schema', text, pos)
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# and so on
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schema = partial(completion, "schema")
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table = partial(completion, "table")
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view = partial(completion, "view")
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column = partial(completion, "column")
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keyword = partial(completion, "keyword")
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datatype = partial(completion, "datatype")
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alias = partial(completion, "table alias")
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name_join = partial(completion, "name join")
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fk_join = partial(completion, "fk join")
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join = partial(completion, "join")
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def wildcard_expansion(cols, pos=-1):
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return Completion(cols, start_position=pos, display_meta="columns", display="*")
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class MetaData:
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def __init__(self, metadata):
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self.metadata = metadata
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def builtin_functions(self, pos=0):
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return [function(f, pos) for f in self.completer.functions]
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def builtin_datatypes(self, pos=0):
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return [datatype(dt, pos) for dt in self.completer.datatypes]
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def keywords(self, pos=0):
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return [keyword(kw, pos) for kw in self.completer.keywords_tree.keys()]
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def specials(self, pos=0):
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return [
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Completion(text=k, start_position=pos, display_meta=v.description)
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for k, v in self.completer.pgspecial.commands.items()
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]
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def columns(self, tbl, parent="public", typ="tables", pos=0):
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if typ == "functions":
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fun = [x for x in self.metadata[typ][parent] if x[0] == tbl][0]
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cols = fun[1]
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else:
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cols = self.metadata[typ][parent][tbl]
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return [column(escape(col), pos) for col in cols]
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def datatypes(self, parent="public", pos=0):
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return [
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datatype(escape(x), pos)
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for x in self.metadata.get("datatypes", {}).get(parent, [])
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]
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def tables(self, parent="public", pos=0):
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return [
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table(escape(x), pos)
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for x in self.metadata.get("tables", {}).get(parent, [])
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]
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def views(self, parent="public", pos=0):
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return [
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view(escape(x), pos) for x in self.metadata.get("views", {}).get(parent, [])
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]
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def functions(self, parent="public", pos=0):
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return [
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function(
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escape(x[0])
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+ "("
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+ ", ".join(
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arg_name + " := "
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for (arg_name, arg_mode) in zip(x[1], x[3])
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if arg_mode in ("b", "i")
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)
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+ ")",
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pos,
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escape(x[0])
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+ "("
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+ ", ".join(
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arg_name
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for (arg_name, arg_mode) in zip(x[1], x[3])
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if arg_mode in ("b", "i")
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)
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+ ")",
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)
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for x in self.metadata.get("functions", {}).get(parent, [])
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]
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def schemas(self, pos=0):
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schemas = {sch for schs in self.metadata.values() for sch in schs}
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return [schema(escape(s), pos=pos) for s in schemas]
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def functions_and_keywords(self, parent="public", pos=0):
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return (
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self.functions(parent, pos)
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+ self.builtin_functions(pos)
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+ self.keywords(pos)
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)
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# Note that the filtering parameters here only apply to the columns
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def columns_functions_and_keywords(self, tbl, parent="public", typ="tables", pos=0):
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return self.functions_and_keywords(pos=pos) + self.columns(
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tbl, parent, typ, pos
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)
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def from_clause_items(self, parent="public", pos=0):
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return (
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self.functions(parent, pos)
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+ self.views(parent, pos)
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+ self.tables(parent, pos)
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)
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def schemas_and_from_clause_items(self, parent="public", pos=0):
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return self.from_clause_items(parent, pos) + self.schemas(pos)
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def types(self, parent="public", pos=0):
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return self.datatypes(parent, pos) + self.tables(parent, pos)
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@property
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def completer(self):
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return self.get_completer()
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def get_completers(self, casing):
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"""
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Returns a function taking three bools `casing`, `filtr`, `aliasing` and
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the list `qualify`, all defaulting to None.
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Returns a list of completers.
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These parameters specify the allowed values for the corresponding
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completer parameters, `None` meaning any, i.e. (None, None, None, None)
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results in all 24 possible completers, whereas e.g.
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(True, False, True, ['never']) results in the one completer with
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casing, without `search_path` filtering of objects, with table
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aliasing, and without column qualification.
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"""
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def _cfg(_casing, filtr, aliasing, qualify):
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cfg = {"settings": {}}
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if _casing:
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cfg["casing"] = casing
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cfg["settings"]["search_path_filter"] = filtr
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cfg["settings"]["generate_aliases"] = aliasing
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cfg["settings"]["qualify_columns"] = qualify
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return cfg
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def _cfgs(casing, filtr, aliasing, qualify):
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casings = [True, False] if casing is None else [casing]
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filtrs = [True, False] if filtr is None else [filtr]
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aliases = [True, False] if aliasing is None else [aliasing]
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qualifys = qualify or ["always", "if_more_than_one_table", "never"]
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return [_cfg(*p) for p in product(casings, filtrs, aliases, qualifys)]
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def completers(casing=None, filtr=None, aliasing=None, qualify=None):
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get_comp = self.get_completer
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return [get_comp(**c) for c in _cfgs(casing, filtr, aliasing, qualify)]
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return completers
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def _make_col(self, sch, tbl, col):
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defaults = self.metadata.get("defaults", {}).get(sch, {})
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return (sch, tbl, col, "text", (tbl, col) in defaults, defaults.get((tbl, col)))
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def get_completer(self, settings=None, casing=None):
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metadata = self.metadata
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from pgcli.pgcompleter import PGCompleter
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from pgspecial import PGSpecial
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comp = PGCompleter(
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smart_completion=True, settings=settings, pgspecial=PGSpecial()
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)
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schemata, tables, tbl_cols, views, view_cols = [], [], [], [], []
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for sch, tbls in metadata["tables"].items():
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schemata.append(sch)
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for tbl, cols in tbls.items():
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tables.append((sch, tbl))
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# Let all columns be text columns
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tbl_cols.extend([self._make_col(sch, tbl, col) for col in cols])
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for sch, tbls in metadata.get("views", {}).items():
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for tbl, cols in tbls.items():
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views.append((sch, tbl))
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# Let all columns be text columns
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view_cols.extend([self._make_col(sch, tbl, col) for col in cols])
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functions = [
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FunctionMetadata(sch, *func_meta, arg_defaults=None)
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for sch, funcs in metadata["functions"].items()
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for func_meta in funcs
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]
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datatypes = [
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(sch, typ)
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for sch, datatypes in metadata["datatypes"].items()
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for typ in datatypes
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]
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foreignkeys = [
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ForeignKey(*fk) for fks in metadata["foreignkeys"].values() for fk in fks
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]
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comp.extend_schemata(schemata)
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comp.extend_relations(tables, kind="tables")
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comp.extend_relations(views, kind="views")
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comp.extend_columns(tbl_cols, kind="tables")
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comp.extend_columns(view_cols, kind="views")
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comp.extend_functions(functions)
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comp.extend_datatypes(datatypes)
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comp.extend_foreignkeys(foreignkeys)
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comp.set_search_path(["public"])
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comp.extend_casing(casing or [])
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return comp
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