def transform(*, src: str, dst: str, config: str, config_file: str, code: str,
functions: str, input_format: str, output_format: str,
format: str, sort_keys: str):
"""transform dict"""
from magicalimport import import_symbol
from dictknife import deepmerge
if code is not None:
transform = eval(code)
elif functions:
def transform(d):
for fn in functions:
if "." not in fn:
fn = "dictknife.transform:{}".format(fn)
d = import_symbol(fn)(d)
return d
else:
transform = lambda x: x # NOQA
input_format = input_format or format
kwargs = loading.loads(config, format=input_format)
if config_file:
with open(config_file) as rf:
kwargs = deepmerge(kwargs, loading.load(rf, format=input_format))
data = loading.loadfile(src, input_format)
result = transform(data, **kwargs)
loading.dumpfile(result,
dst,
format=output_format or format,
sort_keys=sort_keys)
def main(src):
Base = automap_base()
engine = create_engine(src)
Base.prepare(engine, reflect=True)
collector = Collector(Resolver())
d = collector.collect(Base.classes)
loading.dumpfile(d, format="json")
def merge(
*,
files: list,
dst: str,
style: str, # flavor?, strategy?
strict: bool = False,
wrap: str = None,
wrap_section: str = "definitions"
):
"""merge files"""
from dictknife.langhelpers import make_dict, as_jsonpointer
from dictknife import deepmerge
if style == "ref":
dstdir = dst and os.path.dirname(dst)
r = make_dict()
seen = {}
for src in files:
d = loading.loadfile(src)
for ns, sd in d.items():
for name in sd:
if ns not in r:
r[ns] = make_dict()
seen[ns] = make_dict()
if strict and name in r[ns]:
raise RuntimeError(
"{name} is already existed, (where={where} and {where2})".format(
name=name, where=seen[ns][name], where2=src
)
)
if dst is None:
where = ""
else:
where = os.path.relpath(src, start=dstdir)
r[ns][name] = {
"$ref": "{where}#/{ns}/{name}".format(
where=where, ns=ns, name=as_jsonpointer(name)
)
}
seen[ns][name] = src
elif style == "whole":
# TODO: strict support?
data = [loading.loadfile(src) for src in files]
r = deepmerge(*data, override=True)
else:
raise RuntimeError("invalid style: {}".format(style))
if wrap is not None:
wd = make_dict()
wd["type"] = "object"
wd["properties"] = make_dict()
for name in r.get(wrap_section) or {}:
wd["properties"][name] = {
"$ref": "#/{wrap_section}/{name}".format(
wrap_section=wrap_section, name=name
)
}
r[wrap_section][wrap] = wd
loading.dumpfile(r, dst)
def run(filename: str) -> str:
d = loading.loadfile(filename)
w = DictWalker(["vars", "exec"])
for path, w in w.walk(d):
# path: services/<service_name>/vars/exec
service_name = path[-3]
exec_path = w["exec"]
if exec_path == "./enduser_server":
continue
if exec_path == "./tuner_server":
continue
if _normalize(_normalize2(exec_path)).startswith(
_normalize(_normalize2(service_name))
):
continue
loading.dumpfile(
{
"must_include_part": _normalize(_normalize2(service_name)),
"ref": f"#/{'/'.join(path[:-2])}",
"exec_path": exec_path,
},
format="json",
)
print("")
def main(src):
Base = automap_base()
engine = create_engine(src)
Base.prepare(engine, reflect=True)
collector = Collector(Resolver())
d = collector.collect(Base.classes)
loading.dumpfile(d, format="json")
def _migrate(self, doc=None, *, where=None, savedir=None):
where = where or os.getcwd()
doc = doc or self.resolver.doc
self._prepare(doc=doc, where=where)
yield self.updater
for r in self.updater.resolvers:
relpath = os.path.relpath(r.filename, start=where)
savepath = r.filename
if savedir:
savepath = os.path.join(
savedir,
os.path.relpath(savepath,
start=os.path.dirname(
self.resolver.filename)),
)
savepath = os.path.relpath(savepath, start=where)
diff = "\n".join(self.differ.diff(r, where=where))
if not diff:
if savedir is None:
logger.debug("skip file %s", relpath)
else:
logger.info("copy file %s -> %s", relpath,
(savepath or relpath))
try:
shutil.copy(r.filename, savepath)
except FileNotFoundError:
os.makedirs(os.path.dirname(savepath))
shutil.copy(r.filename, savepath)
continue
logger.info("update file %s -> %s", relpath, (savepath or relpath))
loading.dumpfile(self.transform(self.differ.after_data(r.doc)),
savepath, **self.dump_options)
def run():
data = {
"people": [
{
"name": "boo",
"age": 20
},
{
"name": "foo",
"age": 20,
"nickname": "F"
},
{
"name": "bar",
"age": 20
},
]
}
q = """\
{
foo: person(name: "foo") { name, age, nickname },
xxx: person(name: "xxx") { name, age, nickname },
}
"""
result = g.graphql_sync(schema, q, Root(data))
print(result.errors)
loading.dumpfile(result.data)
def mkdict(*, output_format: str, separator: str, delimiter: str,
sort_keys: bool, squash: bool, extra):
from dictknife.mkdict import mkdict
if not extra:
r = []
variables = {}
for code in sys.stdin:
d = mkdict(code, separator=separator, shared=variables)
if not d:
continue
if isinstance(d, list):
r.extend(d)
else:
r.append(d)
if len(r) == 1:
r = r[0]
else:
args = []
for x in extra:
if "=" not in x:
args.append(repr(x))
else:
for e in x.split("=", 1):
args.append(repr(e))
r = mkdict(" ".join(args), separator=separator)
if squash:
for row in r:
loading.dumpfile(row, format=output_format, sort_keys=sort_keys)
sys.stdout.write("\n")
else:
loading.dumpfile(r, format=output_format, sort_keys=sort_keys)
sys.stdout.write("\n")
def main(secret_path, credentials_path):
storage = Storage(credentials_path)
credentials = storage.get()
if credentials is None:
scopes = ['https://www.googleapis.com/auth/analytics.readonly']
flow = client.flow_from_clientsecrets(secret_path, scopes)
args = argparse.ArgumentParser(parents=[tools.argparser]).parse_args()
args.auth_host_port = [44444]
args.logging_level = "DEBUG"
credentials = tools.run_flow(flow, storage, args)
http = credentials.authorize(httplib2.Http())
print("0@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
cache = InMemoryCache()
resource1 = build("analytics",
"v3",
http=http,
cache_discovery=True,
cache=cache)
print("1@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
resource2 = build("analytics",
"v3",
http=http,
cache_discovery=True,
cache=cache)
print("2@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
accounts = resource1.management().accounts().list().execute()
loading.dumpfile(accounts, None)
print("3@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
accounts = resource2.management().accounts().list().execute()
loading.dumpfile(accounts, None)
def shrink(
*,
files: list,
input_format: str,
output_format: str,
max_length_of_string: int,
cont_suffix: str,
max_length_of_list: int,
with_tail: bool
):
"""shrink"""
from dictknife.transform import shrink
for f in files:
with _open(f) as rf:
d = loading.load(rf, format=input_format)
format = output_format or input_format or loading.guess_format(f)
r = shrink(
d,
max_length_of_list=max_length_of_list,
max_length_of_string=max_length_of_string,
cont_suffix=cont_suffix,
with_tail=with_tail,
)
loading.dumpfile(r, format=format)
def run():
schema.get_type("Team").fields["members"].resolve = Team.members
data = {
"teams": [
{
"name": "x",
"members": [
{"age": 10, "name": "a"},
{"age": 10, "name": "b"},
{"age": 10, "name": "z"},
],
},
{
"name": "y",
"members": [
{"age": 10, "name": "i"},
{"age": 10, "name": "j"},
{"age": 10, "name": "k"},
],
},
]
}
q = """\
{
teams { name, members(name: "i") { name }}
}
"""
result = g.graphql_sync(schema, q, Root(data))
print(result.errors)
loading.dumpfile(result.data)
def run():
data = {
"people": [
{
"name": "boo",
"age": 20
},
{
"name": "foo",
"age": 20,
"nickname": "F"
},
{
"name": "bar",
"age": 20
},
]
}
q = """\
{
desc_people: people(order_by: name_DESC) { name, age, nickname },
asc_people: people(order_by: name_ASC) { name, age, nickname }
}
"""
result = g.graphql_sync(schema, q, Root(data))
loading.dumpfile(result.data)
def emit(*, title: str = "egoist", version: str = "0.0.0") -> None:
from emit import emit, get_walker
from dictknife import loading
w = get_walker([Article])
root = emit(w, app.routes, title=title, version=version)
loading.dumpfile(root)
def transform(
*,
src: str,
dst: str,
code: str,
functions: str,
input_format: str,
output_format: str,
format: str,
sort_keys: str
):
"""transform dict"""
from magicalimport import import_symbol
if code is not None:
transform = eval(code)
elif functions:
def transform(d):
for fn in functions:
if "." not in fn:
fn = "dictknife.transform:{}".format(fn)
d = import_symbol(fn)(d)
return d
else:
transform = lambda x: x # NOQA
input_format = input_format or format
data = loading.loadfile(src, input_format)
result = transform(data)
loading.dumpfile(
result, dst, format=output_format or input_format or format, sort_keys=sort_keys
)
async def main() -> None:
from async_asgi_testclient import TestClient
from dictknife import loading
async with TestClient(app) as client:
response = await client.get("/openapi.json")
loading.dumpfile(response.json())
def examples(
*,
src: str,
dst: str = None,
ref: str,
limit: int,
input_format: str,
output_format: str,
format: str,
use_expand: bool = False,
):
"""output sample value from swagger's spec"""
from dictknife.jsonknife import extract_example
from dictknife.jsonknife.accessor import access_by_json_pointer
if use_expand:
from dictknife.jsonknife import bundle, expand
if ref is not None:
src = "{prefix}#/{name}".format(prefix=src, name=ref.lstrip("#/"))
data = bundle(src, format=input_format or format)
data = expand(None, doc=data)
else:
data = loading.loadfile(src, format=input_format or format)
if src and "#/" in src:
_, ref = src.split("#/", 1)
if ref is not None:
data = access_by_json_pointer(data, ref)
d = extract_example(data, limit=limit)
loading.dumpfile(d, dst, format=output_format or format or "json")
def flatten(*, src: str, dst: str, input_format: str, output_format: str, format: str):
"""flatten jsonschema sub definitions"""
from dictknife.swaggerknife.flatten import flatten
input_format = input_format or format
data = loading.loadfile(src, format=input_format)
d = flatten(data)
loading.dumpfile(d, dst, format=output_format or format)
def run(*, filename):
def onload(d, resolver, w=DictWalker(["$include"])):
for _, sd, in w.walk(d):
subresolver, jsref = resolver.resolve(sd.pop("$include"))
sd.update(subresolver.access_by_json_pointer(jsref))
resolver = get_resolver(filename, onload=onload)
loading.dumpfile(resolver.doc)
def run(*, config: str) -> None:
c = loading.loadfile(config)
overwrite_file = os.environ.get("OVERWRITE_CONFIG")
if overwrite_file is not None:
c2 = loading.loadfile(overwrite_file)
c = deepmerge(c, c2, method="replace")
loading.dumpfile(c)
def run(filename: str, output: t.Optional[str] = None):
d = loading.loadfile(filename)
for path, sd in DictWalker(["allOf"]).walk(d):
parent = d
for name in path[:-2]:
parent = parent[name]
assert parent[path[-2]] == sd
parent[path[-2]] = sd.pop("allOf")[0]
loading.dumpfile(d, output)
def emitfiles(d, format=None, position="."):
if isinstance(d, (list, tuple)):
for x in d:
emitfiles(x, format=format, position=position)
else:
for name, data in d.items():
fpath = os.path.join(position, name)
logger.info("emit:%s", os.path.normpath(fpath))
loading.dumpfile(data, fpath, format=format)
def dump(self, commands, outdir):
outdir = outdir or "."
for t, cmd, data in commands:
result = _render_with_newline(t, data)
outpath = os.path.join(outdir, cmd["dst"])
logger.info("rendering %s (template=%s)", outpath, t.name)
fmt = cmd.get("format") or self.format or "raw"
if fmt != "raw":
result = loading.loads(result, format=fmt)
loading.dumpfile(result, outpath, format=fmt)
def main():
parser = argparse.ArgumentParser()
parser.add_argument("files", nargs="*", type=argparse.FileType("r"))
args = parser.parse_args()
files = args.files
if len(files) == 0:
files = [sys.stdin]
for f in files:
loading.dumpfile(extract(loading.load(f)), format="json")
def annotate(filename: str, *, use_fullname: bool = False) -> None:
from dictknife import loading
from detector import detect, generate_annotations
d = loading.loadfile(filename)
result = detect(d)
r = generate_annotations(result,
use_fullname=use_fullname,
toplevel_name="toplevel")
loading.dumpfile(r)
def cut(*, src, dst, refs):
from dictknife.accessing import Accessor
d = loading.loadfile(src)
accessor = Accessor(make_dict)
for ref in refs:
if ref.startswith("#/"):
ref = ref[2:]
accessor.maybe_remove(d, ref.split("/"))
loading.dumpfile(d, dst)
def main(*, src: str) -> None:
precompile_ref_walker = DictWalker(["$precompile-ref"])
def onload(d, resolver):
for path, sd in precompile_ref_walker.walk(d):
subresolver, query = resolver.resolve(sd.pop("$precompile-ref"))
value = subresolver.access(subresolver.doc, query)
jsref = path_to_json_pointer(path[:-1])
resolver.assign(d, jsref, value)
d = bundle(src, onload=onload)
loading.dumpfile(d)
def main(*, src: str) -> None:
precompile_ref_walker = DictWalker(["$precompile-ref"])
accessor = Accessor()
def onload(d, subresolver):
for path, sd in precompile_ref_walker.walk(d):
sdoc, query = subresolver.resolve(sd.pop("$precompile-ref"))
sresolved = access_by_json_pointer(sdoc.doc, query)
accessor.assign(d, path[:-1], sresolved)
resolver = get_resolver_from_filename(src, onload=onload)
d = Bundler(resolver).bundle()
loading.dumpfile(d)
def run():
data = {
"teams": [
{
"name":
"x",
"members": [
{
"age": 10,
"name": "a"
},
{
"age": 10,
"name": "b"
},
{
"age": 10,
"name": "z"
},
],
},
{
"name":
"y",
"members": [
{
"age": 10,
"name": "i"
},
{
"age": 10,
"name": "j"
},
{
"age": 10,
"name": "k"
},
],
},
]
}
q = """\
{
teams { name, members(name: "i") { name }}
}
"""
result = g.graphql_sync(schema, q, Root(data))
print(result.errors)
loading.dumpfile(result.data)
def run():
dotenv.load_dotenv()
token = os.environ["TOKEN"]
with contextlib.ExitStack() as stack:
stack.enter_context(handle_error_response())
s = stack.enter_context(requests.Session())
s.headers["Authorization"] = f"Bearer {token}"
user_id = "podhmo"
url = f"{base_url}/api/v2/users/{user_id}/stocks"
r = []
while url is not None:
import time
time.sleep(0.1)
print(f"get url {url}", file=sys.stderr)
response = s.get(url, params={"per_page": 100})
response.raise_for_status()
output = {}
output["headers"] = dict(response.headers)
output["response"] = {}
output["response"]["url"] = response.url
output["response"]["status_code"] = response.status_code
output["response"]["content"] = response.json()
r.append(output)
link = response.headers.get("Link")
if link is None:
break
next_url = None
for string, kind in re.findall(r'<\s*([^;]+)>; rel="([^,]+),?',
link):
kind = kind.strip('"')
if kind == "next":
next_url = string.strip("<>")
break
if next_url is None:
break
url = next_url
from dictknife import loading
loading.dumpfile(r)
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--extracted", required=True)
parser.add_argument("--jsonschema", required=True)
parser.add_argument("-o",
"--output-format",
default="yaml",
choices=["json", "yaml"])
args = parser.parse_args()
r = merge(
extracted=loading.loadfile(args.extracted),
jsonschema=loading.loadfile(args.jsonschema),
)
loading.dumpfile(r, format=args.output_format)
def diff(
*,
normalize: bool,
sort_keys: bool,
skip_empty: bool,
left: dict,
right: dict,
n: int,
input_format: str,
output_format: str = "diff",
verbose: bool = False
):
"""diff dict"""
from dictknife.diff import diff, diff_rows, make_jsonpatch
with open(left) as rf:
left_data = loading.load(rf, format=input_format)
with open(right) as rf:
right_data = loading.load(rf, format=input_format)
if output_format == "diff":
for line in diff(
left_data,
right_data,
fromfile=left,
tofile=right,
n=n,
normalize=normalize,
sort_keys=sort_keys,
):
print(line)
elif output_format == "jsonpatch":
r = make_jsonpatch(left_data, right_data, verbose=verbose)
loading.dumpfile(list(r), format="json")
else:
if output_format == "dict":
output_format = "json"
diff_key = "diff"
rows = diff_rows(
left_data,
right_data,
fromfile=left,
tofile=right,
diff_key=diff_key,
normalize=normalize,
)
if skip_empty:
rows = [row for row in rows if row[diff_key] not in ("", 0)]
loading.dumpfile(rows, format=output_format)
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--data", action="append", help="support yaml, json, toml", default=[])
parser.add_argument("template")
parser.add_argument("--input-format", default=None)
parser.add_argument("--output-format", default="raw")
parser.add_argument("--dst", default=None)
args = parser.parse_args()
loading.setup()
data = deepmerge(*[loadfile(d) for d in args.data], override=True)
if args.input_format is not None:
data = deepmerge(data, loading.load(sys.stdin, format=args.input_format), override=True)
result = run(args.template, data)
loading.dumpfile(result, args.dst, format=args.output_format)
def run(
*,
file: str,
pattern: str = None,
ignore: str = None,
format: str = "json",
shy: bool = False,
with_request_type: bool = False,
with_response_type: bool = False,
ignore_cookies: bool = False,
include_all: bool = False,
) -> None:
import re
pattern_rx = pattern and re.compile(pattern)
ignore_rx = ignore and re.compile(ignore)
d = loading.loadfile(file, format=format)
for domain, entries in classify(d).items():
if pattern_rx and pattern_rx.search(domain) is None:
continue
if ignore_rx and ignore_rx.search(domain) is not None:
continue
print("##", domain)
print("")
print("```yaml")
r = aggregate(entries, shy=shy)
loading.dumpfile(
transform(
r,
with_request_type=with_request_type,
with_response_type=with_response_type,
with_cookies=not ignore_cookies,
include_all=include_all,
)
)
print("```")
print("")
def main(secret_path, credentials_path):
storage = Storage(credentials_path)
credentials = storage.get()
if credentials is None:
scopes = ['https://www.googleapis.com/auth/analytics.readonly']
flow = client.flow_from_clientsecrets(secret_path, scopes)
args = argparse.ArgumentParser(parents=[tools.argparser]).parse_args()
args.auth_host_port = [44444]
args.logging_level = "DEBUG"
credentials = tools.run_flow(flow, storage, args)
http = credentials.authorize(httplib2.Http())
print("0@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
cache = InMemoryCache()
resource1 = build("analytics", "v3", http=http, cache_discovery=True, cache=cache)
print("1@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
resource2 = build("analytics", "v3", http=http, cache_discovery=True, cache=cache)
print("2@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
accounts = resource1.management().accounts().list().execute()
loading.dumpfile(accounts, None)
print("3@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
accounts = resource2.management().accounts().list().execute()
loading.dumpfile(accounts, None)
parser.add_argument("--logging", default="INFO", choices=list(logging._nameToLevel.keys()))
parser.add_argument("--emit", default="schema", choices=["schema", "info"])
parser.add_argument("--dst", type=argparse.FileType('w'), default=None)
parser.add_argument("src", type=argparse.FileType('r'))
args = parser.parse_args()
logging.basicConfig(level=args.logging)
annotations = {}
if args.annotations:
annotations = loading.load(args.annotations)
detector = Detector()
emitter = Emitter(annotations)
loading.setup()
data = loading.load(args.src)
info = detector.detect(data, args.name)
if args.emit == "info":
loading.dumpfile(info, filename=args.dst)
else:
m = Module(indent=" ")
m.stmt(args.name)
emitter.emit(info, m)
if args.show_minimap:
print("# minimap ###")
print("# *", end="")
print("\n# ".join(str(m).split("\n")))
loading.dumpfile(emitter.doc, filename=args.dst)
from dictknife.transform import flatten
from dictknife import loading
d = loading.loadfile("00person.json")
loading.dumpfile(d, format="json")
loading.dumpfile(flatten(d), format="json")
print("----------------------------------------")
d = loading.loadfile("02person.json")
loading.dumpfile(d, format="json")
loading.dumpfile(flatten(d), format="json")
def run(*, src: str) -> None:
data = loading.loadfile(src)
loading.dumpfile(data, format="yaml")
from dictknife import loading
from dictknife.jsonknife import get_resolver
from dictknife.jsonknife import Bundler
filename = "./src/main.json"
r = get_resolver(filename)
r.doc = {
"definitions": {
"person": r.access_by_json_pointer("/definitions/person"),
}
}
b = Bundler(r)
d = b.bundle()
loading.dumpfile(d)
def main(*, src: str, dst: str) -> None:
src = loading.loadfile(src)
dst = loading.loadfile(dst)
patches = list(unpatch.unpatch(src, dst, verbose=True))
loading.dumpfile(patches, format="json")
import sys
import urllib.parse as p
from collections import defaultdict
from dictknife import loading
if len(sys.argv) == 1:
# sys.argv.append("data.har")
sys.argv.append(None)
d = loading.loadfile(sys.argv[1], format="json")
r = defaultdict(list)
for entry in d["log"]["entries"]:
parsed = p.urlparse(entry["request"]["url"])
if "application/json" in entry["response"]["content"]["mimeType"].lower():
r[parsed.netloc].append(entry)
loading.dumpfile(r)
import uuid
import sys
import dictknife.loading as loading
def randname():
return uuid.uuid4().hex[:6]
for i in range(5):
d = {"name": randname(), "i": i}
loading.dumpfile(d, format="json")
sys.stdout.flush()
if f == "markdown": # xxx:
continue
m = import_module(f"dictknife.loading.{f}")
ex_parser = ex_parsers.add_parser(f)
setup = getattr(m, "setup_parser", None)
if setup is None:
print(f"{m.__name__} doesn't have setup_parser() function", file=sys.stderr)
continue
setup(ex_parser)
args, rest = parser.parse_known_args()
extra, _ = ex_parsers.parse_args(args.format, rest)
print(args, extra)
L = [
{
"name": "foo",
"age": 20
},
{
"name": "bar",
"age": 21,
"nickname": "B"
},
{
"name": "boo"
},
]
loading.dumpfile(L, **vars(args), extra=vars(extra))
def run(path: str) -> None:
rows = loading.loadfile(path, format="csv")
import itertools
rows = itertools.islice(rows, 3)
loading.dumpfile(rows, format="json")
def do_mkdict(self, line):
loading.dumpfile(mkdict(line, shared=self.d), format="json")
print("")
person: Person
class People(Array):
items = Person
# todo: default,example,validation
# todo: string as type (order of reference)
with Namespace("components") as components:
with components.namespace("schemas") as schemas:
# schemas.mount(Person)
schemas.mount(People)
schemas.mount(XPerson)
assert get_resolver().lookup.lookup(components, "schemas/Person") is not None
loading.dumpfile(components.as_dict(), format="json")
# {
# "components": {
# "schemas": {
# "Person": {
# "type": "object",
# "description": "person",
# "properties": {
# "name": {
# "type": "string"
# },
# "age": {
# "type": "integer"
# }
# },
from tempfile import TemporaryDirectory
from pathlib import Path
import dictknife.loading as loading
from dictknife.pp import pp, indent
with TemporaryDirectory() as d:
d = Path(d)
data = {
"definitions": {
"person": {
"$ref": "./models/person.json#/definitions/person"
}
}
}
loading.dumpfile(data, str(d.joinpath("./swagger.json")))
person = {
"definitions": {
"person": {
"properties": {
"name": {
"$ref": "../primitives/name.json"
},
"age": {
"$ref": "../primitives/age.json"
}
}
}
}
}
def run(src):
loading.setup()
d = loading.loadfile(src)
store = collect(d["package"])
r = arrange(store)
loading.dumpfile(r, format="toml")
def run(*, file: str, name: str = "response") -> None:
d = loading.loadfile(file)
loading.dumpfile(makeschema(d, name=name))
from dictknife import loading, pp
from schema import Conf
loading.setup()
data = loading.loadfile("./config-sample.json")
data, err = Conf().load(data)
if err:
pp(err)
else:
loading.dumpfile(data)
