rather move BatchPersonalization to separate module

Change-Id: I01ae40a06605eb205bfb409189fcd2b3a128855a

pySim/esim/saip/personalization.py

@@ -17,14 +17,12 @@
 
 import abc
 import io
-import copy
 from typing import List, Tuple, Generator
 
 from osmocom.tlv import camel_to_snake
 from pySim.utils import enc_iccid, enc_imsi, h2b, rpad, sanitize_iccid
 from pySim.esim.saip import ProfileElement, ProfileElementSequence
 from pySim.ts_51_011 import EF_SMSP
-from pySim.esim.saip import param_source
 
 def remove_unwanted_tuples_from_list(l: List[Tuple], unwanted_keys: List[str]) -> List[Tuple]:
     """In a list of tuples, remove all tuples whose first part equals 'unwanted_key'."""
@@ -665,96 +663,3 @@ class TuakNumberOfKeccak(IntegerParam, AlgoConfig):
     min_val = 1
     max_val = 255
     example_input = '1'
-
-
-class BatchPersonalization:
-    """Produce a series of eSIM profiles from predefined parameters.
-    Personalization parameters are derived from pysim.esim.saip.param_source.ParamSource.
-
-    Usage example:
-
-    der_input = some_file.open('rb').read()
-    pes = ProfileElementSequence.from_der(der_input)
-    p = pers.BatchPersonalization(
-        n=10,
-        src_pes=pes,
-        csv_rows=get_csv_reader())
-
-    p.add_param_and_src(
-        personalization.Iccid(),
-        param_source.IncDigitSource(
-            num_digits=18,
-            first_value=123456789012340001,
-            last_value=123456789012340010))
-
-    # add more parameters here, using ConfigurableParameter and ParamSource subclass instances to define the profile
-    # ...
-
-    # generate all 10 profiles (from n=10 above)
-    for result_pes in p.generate_profiles():
-        upp = result_pes.to_der()
-        store_upp(upp)
-    """
-
-    class ParamAndSrc:
-        'tie a ConfigurableParameter to a source of actual values'
-        def __init__(self, param:ConfigurableParameter, src:param_source.ParamSource):
-            self.param = param
-            self.src = src
-
-    def __init__(self,
-                 n:int,
-                 src_pes:ProfileElementSequence,
-                 params:list[ParamAndSrc]=None,
-                 csv_rows:Generator=None,
-                ):
-        """
-        n: number of eSIM profiles to generate.
-        src_pes: a decoded eSIM profile as ProfileElementSequence, to serve as template. This is not modified, only
-                 copied.
-        params: list of ParamAndSrc instances, defining a ConfigurableParameter and corresponding ParamSource to fill in
-                profile values.
-        csv_rows: A list or generator producing all CSV rows one at a time, starting with a row containing the column
-                  headers. This is compatible with the python csv.reader. Each row gets passed to
-                  ParamSource.get_next(), such that ParamSource implementations can access the row items.
-                  See param_source.CsvSource.
-        """
-        self.n = n
-        self.params = params or []
-        self.src_pes = src_pes
-        self.csv_rows = csv_rows
-
-    def add_param_and_src(self, param:ConfigurableParameter, src:param_source.ParamSource):
-        self.params.append(BatchPersonalization.ParamAndSrc(param=param, src=src))
-
-    def generate_profiles(self):
-        # get first row of CSV: column names
-        csv_columns = None
-        if self.csv_rows:
-            try:
-                csv_columns = next(self.csv_rows)
-            except StopIteration as e:
-                raise ValueError('the input CSV file appears to be empty') from e
-
-        for i in range(self.n):
-            csv_row = None
-            if self.csv_rows and csv_columns:
-                try:
-                    csv_row_list = next(self.csv_rows)
-                except StopIteration as e:
-                    raise ValueError(f'not enough rows in the input CSV for eSIM nr {i+1} of {self.n}') from e
-
-                csv_row = dict(zip(csv_columns, csv_row_list))
-
-            pes = copy.deepcopy(self.src_pes)
-
-            for p in self.params:
-                try:
-                    input_value = p.src.get_next(csv_row=csv_row)
-                    assert input_value is not None
-                    value = p.param.__class__.validate_val(input_value)
-                    p.param.__class__.apply_val(pes, value)
-                except Exception as e:
-                    raise ValueError(f'{p.param.name} fed by {p.src.name}: {e}') from e
-
-            yield pes