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8ae9d2e2e6ca8d9095338660fc914e4f54292709
[etc/vim.git] / src / black / handle_ipynb_magics.py
1 """Functions to process IPython magics with."""
2
3 from functools import lru_cache
4 import dataclasses
5 import ast
6 from typing import Dict, List, Tuple, Optional
7
8 import secrets
9 import sys
10 import collections
11
12 if sys.version_info >= (3, 10):
13     from typing import TypeGuard
14 else:
15     from typing_extensions import TypeGuard
16
17 from black.report import NothingChanged
18 from black.output import out
19
20
21 TRANSFORMED_MAGICS = frozenset(
22     (
23         "get_ipython().run_cell_magic",
24         "get_ipython().system",
25         "get_ipython().getoutput",
26         "get_ipython().run_line_magic",
27     )
28 )
29 TOKENS_TO_IGNORE = frozenset(
30     (
31         "ENDMARKER",
32         "NL",
33         "NEWLINE",
34         "COMMENT",
35         "DEDENT",
36         "UNIMPORTANT_WS",
37         "ESCAPED_NL",
38     )
39 )
40 NON_PYTHON_CELL_MAGICS = frozenset(
41     (
42         "bash",
43         "html",
44         "javascript",
45         "js",
46         "latex",
47         "markdown",
48         "perl",
49         "ruby",
50         "script",
51         "sh",
52         "svg",
53         "writefile",
54     )
55 )
56 TOKEN_HEX = secrets.token_hex
57
58
59 @dataclasses.dataclass(frozen=True)
60 class Replacement:
61     mask: str
62     src: str
63
64
65 @lru_cache()
66 def jupyter_dependencies_are_installed(*, verbose: bool, quiet: bool) -> bool:
67     try:
68         import IPython  # noqa:F401
69         import tokenize_rt  # noqa:F401
70     except ModuleNotFoundError:
71         if verbose or not quiet:
72             msg = (
73                 "Skipping .ipynb files as Jupyter dependencies are not installed.\n"
74                 "You can fix this by running ``pip install black[jupyter]``"
75             )
76             out(msg)
77         return False
78     else:
79         return True
80
81
82 def remove_trailing_semicolon(src: str) -> Tuple[str, bool]:
83     """Remove trailing semicolon from Jupyter notebook cell.
84
85     For example,
86
87         fig, ax = plt.subplots()
88         ax.plot(x_data, y_data);  # plot data
89
90     would become
91
92         fig, ax = plt.subplots()
93         ax.plot(x_data, y_data)  # plot data
94
95     Mirrors the logic in `quiet` from `IPython.core.displayhook`, but uses
96     ``tokenize_rt`` so that round-tripping works fine.
97     """
98     from tokenize_rt import (
99         src_to_tokens,
100         tokens_to_src,
101         reversed_enumerate,
102     )
103
104     tokens = src_to_tokens(src)
105     trailing_semicolon = False
106     for idx, token in reversed_enumerate(tokens):
107         if token.name in TOKENS_TO_IGNORE:
108             continue
109         if token.name == "OP" and token.src == ";":
110             del tokens[idx]
111             trailing_semicolon = True
112         break
113     if not trailing_semicolon:
114         return src, False
115     return tokens_to_src(tokens), True
116
117
118 def put_trailing_semicolon_back(src: str, has_trailing_semicolon: bool) -> str:
119     """Put trailing semicolon back if cell originally had it.
120
121     Mirrors the logic in `quiet` from `IPython.core.displayhook`, but uses
122     ``tokenize_rt`` so that round-tripping works fine.
123     """
124     if not has_trailing_semicolon:
125         return src
126     from tokenize_rt import src_to_tokens, tokens_to_src, reversed_enumerate
127
128     tokens = src_to_tokens(src)
129     for idx, token in reversed_enumerate(tokens):
130         if token.name in TOKENS_TO_IGNORE:
131             continue
132         tokens[idx] = token._replace(src=token.src + ";")
133         break
134     else:  # pragma: nocover
135         raise AssertionError(
136             "INTERNAL ERROR: Was not able to reinstate trailing semicolon. "
137             "Please report a bug on https://github.com/psf/black/issues.  "
138         ) from None
139     return str(tokens_to_src(tokens))
140
141
142 def mask_cell(src: str) -> Tuple[str, List[Replacement]]:
143     """Mask IPython magics so content becomes parseable Python code.
144
145     For example,
146
147         %matplotlib inline
148         'foo'
149
150     becomes
151
152         "25716f358c32750e"
153         'foo'
154
155     The replacements are returned, along with the transformed code.
156     """
157     replacements: List[Replacement] = []
158     try:
159         ast.parse(src)
160     except SyntaxError:
161         # Might have IPython magics, will process below.
162         pass
163     else:
164         # Syntax is fine, nothing to mask, early return.
165         return src, replacements
166
167     from IPython.core.inputtransformer2 import TransformerManager
168
169     transformer_manager = TransformerManager()
170     transformed = transformer_manager.transform_cell(src)
171     transformed, cell_magic_replacements = replace_cell_magics(transformed)
172     replacements += cell_magic_replacements
173     transformed = transformer_manager.transform_cell(transformed)
174     transformed, magic_replacements = replace_magics(transformed)
175     if len(transformed.splitlines()) != len(src.splitlines()):
176         # Multi-line magic, not supported.
177         raise NothingChanged
178     replacements += magic_replacements
179     return transformed, replacements
180
181
182 def get_token(src: str, magic: str) -> str:
183     """Return randomly generated token to mask IPython magic with.
184
185     For example, if 'magic' was `%matplotlib inline`, then a possible
186     token to mask it with would be `"43fdd17f7e5ddc83"`. The token
187     will be the same length as the magic, and we make sure that it was
188     not already present anywhere else in the cell.
189     """
190     assert magic
191     nbytes = max(len(magic) // 2 - 1, 1)
192     token = TOKEN_HEX(nbytes)
193     counter = 0
194     while token in src:
195         token = TOKEN_HEX(nbytes)
196         counter += 1
197         if counter > 100:
198             raise AssertionError(
199                 "INTERNAL ERROR: Black was not able to replace IPython magic. "
200                 "Please report a bug on https://github.com/psf/black/issues.  "
201                 f"The magic might be helpful: {magic}"
202             ) from None
203     if len(token) + 2 < len(magic):
204         token = f"{token}."
205     return f'"{token}"'
206
207
208 def replace_cell_magics(src: str) -> Tuple[str, List[Replacement]]:
209     """Replace cell magic with token.
210
211     Note that 'src' will already have been processed by IPython's
212     TransformerManager().transform_cell.
213
214     Example,
215
216         get_ipython().run_cell_magic('t', '-n1', 'ls =!ls\\n')
217
218     becomes
219
220         "a794."
221         ls =!ls
222
223     The replacement, along with the transformed code, is returned.
224     """
225     replacements: List[Replacement] = []
226
227     tree = ast.parse(src)
228
229     cell_magic_finder = CellMagicFinder()
230     cell_magic_finder.visit(tree)
231     if cell_magic_finder.cell_magic is None:
232         return src, replacements
233     if cell_magic_finder.cell_magic.name in NON_PYTHON_CELL_MAGICS:
234         raise NothingChanged
235     header = cell_magic_finder.cell_magic.header
236     mask = get_token(src, header)
237     replacements.append(Replacement(mask=mask, src=header))
238     return f"{mask}\n{cell_magic_finder.cell_magic.body}", replacements
239
240
241 def replace_magics(src: str) -> Tuple[str, List[Replacement]]:
242     """Replace magics within body of cell.
243
244     Note that 'src' will already have been processed by IPython's
245     TransformerManager().transform_cell.
246
247     Example, this
248
249         get_ipython().run_line_magic('matplotlib', 'inline')
250         'foo'
251
252     becomes
253
254         "5e67db56d490fd39"
255         'foo'
256
257     The replacement, along with the transformed code, are returned.
258     """
259     replacements = []
260     magic_finder = MagicFinder()
261     magic_finder.visit(ast.parse(src))
262     new_srcs = []
263     for i, line in enumerate(src.splitlines(), start=1):
264         if i in magic_finder.magics:
265             offsets_and_magics = magic_finder.magics[i]
266             if len(offsets_and_magics) != 1:  # pragma: nocover
267                 raise AssertionError(
268                     f"Expecting one magic per line, got: {offsets_and_magics}\n"
269                     "Please report a bug on https://github.com/psf/black/issues."
270                 )
271             col_offset, magic = (
272                 offsets_and_magics[0].col_offset,
273                 offsets_and_magics[0].magic,
274             )
275             mask = get_token(src, magic)
276             replacements.append(Replacement(mask=mask, src=magic))
277             line = line[:col_offset] + mask
278         new_srcs.append(line)
279     return "\n".join(new_srcs), replacements
280
281
282 def unmask_cell(src: str, replacements: List[Replacement]) -> str:
283     """Remove replacements from cell.
284
285     For example
286
287         "9b20"
288         foo = bar
289
290     becomes
291
292         %%time
293         foo = bar
294     """
295     for replacement in replacements:
296         src = src.replace(replacement.mask, replacement.src)
297     return src
298
299
300 def _is_ipython_magic(node: ast.expr) -> TypeGuard[ast.Attribute]:
301     """Check if attribute is IPython magic.
302
303     Note that the source of the abstract syntax tree
304     will already have been processed by IPython's
305     TransformerManager().transform_cell.
306     """
307     return (
308         isinstance(node, ast.Attribute)
309         and isinstance(node.value, ast.Call)
310         and isinstance(node.value.func, ast.Name)
311         and node.value.func.id == "get_ipython"
312     )
313
314
315 def _get_str_args(args: List[ast.expr]) -> List[str]:
316     str_args = []
317     for arg in args:
318         assert isinstance(arg, ast.Str)
319         str_args.append(arg.s)
320     return str_args
321
322
323 @dataclasses.dataclass(frozen=True)
324 class CellMagic:
325     name: str
326     params: Optional[str]
327     body: str
328
329     @property
330     def header(self) -> str:
331         if self.params:
332             return f"%%{self.name} {self.params}"
333         return f"%%{self.name}"
334
335
336 # ast.NodeVisitor + dataclass = breakage under mypyc.
337 class CellMagicFinder(ast.NodeVisitor):
338     """Find cell magics.
339
340     Note that the source of the abstract syntax tree
341     will already have been processed by IPython's
342     TransformerManager().transform_cell.
343
344     For example,
345
346         %%time\nfoo()
347
348     would have been transformed to
349
350         get_ipython().run_cell_magic('time', '', 'foo()\\n')
351
352     and we look for instances of the latter.
353     """
354
355     def __init__(self, cell_magic: Optional[CellMagic] = None) -> None:
356         self.cell_magic = cell_magic
357
358     def visit_Expr(self, node: ast.Expr) -> None:
359         """Find cell magic, extract header and body."""
360         if (
361             isinstance(node.value, ast.Call)
362             and _is_ipython_magic(node.value.func)
363             and node.value.func.attr == "run_cell_magic"
364         ):
365             args = _get_str_args(node.value.args)
366             self.cell_magic = CellMagic(name=args[0], params=args[1], body=args[2])
367         self.generic_visit(node)
368
369
370 @dataclasses.dataclass(frozen=True)
371 class OffsetAndMagic:
372     col_offset: int
373     magic: str
374
375
376 # Unsurprisingly, subclassing ast.NodeVisitor means we can't use dataclasses here
377 # as mypyc will generate broken code.
378 class MagicFinder(ast.NodeVisitor):
379     """Visit cell to look for get_ipython calls.
380
381     Note that the source of the abstract syntax tree
382     will already have been processed by IPython's
383     TransformerManager().transform_cell.
384
385     For example,
386
387         %matplotlib inline
388
389     would have been transformed to
390
391         get_ipython().run_line_magic('matplotlib', 'inline')
392
393     and we look for instances of the latter (and likewise for other
394     types of magics).
395     """
396
397     def __init__(self) -> None:
398         self.magics: Dict[int, List[OffsetAndMagic]] = collections.defaultdict(list)
399
400     def visit_Assign(self, node: ast.Assign) -> None:
401         """Look for system assign magics.
402
403         For example,
404
405             black_version = !black --version
406             env = %env var
407
408         would have been (respectively) transformed to
409
410             black_version = get_ipython().getoutput('black --version')
411             env = get_ipython().run_line_magic('env', 'var')
412
413         and we look for instances of any of the latter.
414         """
415         if isinstance(node.value, ast.Call) and _is_ipython_magic(node.value.func):
416             args = _get_str_args(node.value.args)
417             if node.value.func.attr == "getoutput":
418                 src = f"!{args[0]}"
419             elif node.value.func.attr == "run_line_magic":
420                 src = f"%{args[0]}"
421                 if args[1]:
422                     src += f" {args[1]}"
423             else:
424                 raise AssertionError(
425                     f"Unexpected IPython magic {node.value.func.attr!r} found. "
426                     "Please report a bug on https://github.com/psf/black/issues."
427                 ) from None
428             self.magics[node.value.lineno].append(
429                 OffsetAndMagic(node.value.col_offset, src)
430             )
431         self.generic_visit(node)
432
433     def visit_Expr(self, node: ast.Expr) -> None:
434         """Look for magics in body of cell.
435
436         For examples,
437
438             !ls
439             !!ls
440             ?ls
441             ??ls
442
443         would (respectively) get transformed to
444
445             get_ipython().system('ls')
446             get_ipython().getoutput('ls')
447             get_ipython().run_line_magic('pinfo', 'ls')
448             get_ipython().run_line_magic('pinfo2', 'ls')
449
450         and we look for instances of any of the latter.
451         """
452         if isinstance(node.value, ast.Call) and _is_ipython_magic(node.value.func):
453             args = _get_str_args(node.value.args)
454             if node.value.func.attr == "run_line_magic":
455                 if args[0] == "pinfo":
456                     src = f"?{args[1]}"
457                 elif args[0] == "pinfo2":
458                     src = f"??{args[1]}"
459                 else:
460                     src = f"%{args[0]}"
461                     if args[1]:
462                         src += f" {args[1]}"
463             elif node.value.func.attr == "system":
464                 src = f"!{args[0]}"
465             elif node.value.func.attr == "getoutput":
466                 src = f"!!{args[0]}"
467             else:
468                 raise NothingChanged  # unsupported magic.
469             self.magics[node.value.lineno].append(
470                 OffsetAndMagic(node.value.col_offset, src)
471             )
472         self.generic_visit(node)