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codegen.py
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import logging
import re
from ..dataset import DSSDataset
from ..recipe import CodeRecipeSettings
class _IndentContext(object):
def __init__(self, flow_code_generator):
self.flow_code_generator = flow_code_generator
def __enter__(self):
self.flow_code_generator.cur_indent += 1
def __exit__(self, b, c, d):
self.flow_code_generator.cur_indent -= 1
def slugify(name):
return re.sub(r"[^A-Za-z0-9_]", "_", name)
class FlowCodeGenerator(object):
def __init__(self):
self.code = ""
self.cur_indent = 0
self.remove_metrics_on_datasets = False
self.remove_display_width_on_prepare = False
def set_options(self, remove_metrics_on_datasets=False, remove_display_width_on_prepare=False):
self.remove_metrics_on_datasets = remove_metrics_on_datasets
self.remove_display_width_on_prepare = remove_display_width_on_prepare
pass
def generate_code_for_dataset(self, dataset):
entrypoint_name = "create_dataset_%s" % dataset.dataset_name
self._generate_code_for_dataset(dataset, entrypoint_name)
return self.code
def generate_code_for_recipe(self, recipe):
entrypoint_name = "create_recipe_%s" % recipe.recipe_name
self._generate_code_for_recipe(recipe, entrypoint_name)
return self.code
def generate_code_for_project(self, project, entrypoint_name = None):
self.gen("import json")
self.gen("")
if entrypoint_name is None:
entrypoint_name = "create_flow_for_project"
self.gen("def %s(project):" % entrypoint_name)
flow_graph = project.get_flow().get_graph()
flow_items = flow_graph.get_items_in_traversal_order(as_type="object")
entrypoints_to_call = []
with _IndentContext(self) as ic:
for item in flow_items:
if isinstance(item, DSSDataset):
entrypoint_name = "create_dataset_%s" % slugify(item.dataset_name)
self._generate_code_for_dataset(item, entrypoint_name)
else:
entrypoint_name = "create_recipe_%s" % slugify(item.recipe_name)
self._generate_code_for_recipe(item, entrypoint_name)
entrypoints_to_call.append(entrypoint_name)
self.gen("")
self.gen("# Actual creation of the Flow from the individual functions")
for ep in entrypoints_to_call:
self.gen("%s(project)" % ep)
return self.code
def _generate_code_for_dataset(self, dataset, entrypoint_name):
self.gen("def %s(project):" % entrypoint_name)
settings = dataset.get_settings()
raw = settings.get_raw()
templates = dataset.client._perform_json("GET", "/projects/X/datasets/templates")
do_not_copy = [
"projectKey",
"name",
"type",
"versionTag",
"creationTag",
"schema"
]
self.gen(" # Base dataset params")
if raw["type"] == "UploadedFiles":
self.gen(" dataset = project.create_upload_dataset(\"%s\")" % dataset.dataset_name)
self.gen(" settings = dataset.get_settings()")
self.lf()
self.codegen_object_fields_explicit(settings.get_raw(), templates["dataset"], ["params"], "settings.get_raw()")
do_not_copy.append("params")
elif raw["type"] in DSSDataset.FS_TYPES:
srcp = raw["params"]
self.gen(" dataset = project.create_fslike_dataset(\"%s\", \"%s\", \"%s\", \"%s\")" % \
(dataset.dataset_name, raw["type"], srcp["connection"], srcp.get("path", "/")))
self.gen(" settings = dataset.get_settings()")
self.lf()
self.codegen_object_fields(srcp, templates["abstractFSConfig"],
["connection", "path"], "settings.get_raw_params()")
do_not_copy.append("params")
elif raw["type"] in DSSDataset.SQL_TYPES:
self.gen(" dataset = project.create_dataset(\"%s\", \"%s\")" % (dataset.dataset_name, raw["type"]))
self.gen(" settings = dataset.get_settings()")
self.lf()
srcp = raw["params"]
if srcp.get("mode", None) == "table":
self.gen(" settings.set_table(%s, %s, %s)" % \
(self.objstr(srcp.get("connection")), self.objstr(srcp.get("schema")),
self.objstr(srcp.get("table"))))
self.codegen_object_fields(srcp, templates["abstractSQLConfig"],
["mode", "connection", "schema", "table"], "settings.get_raw_params()")
do_not_copy.append("params")
else:
self.gen(" dataset = project.create_dataset(\"%s\", \"%s\")" % (dataset.dataset_name, raw["type"]))
self.gen(" settings = dataset.get_settings()")
self.codegen_object_fields_explicit(settings.get_raw(), templates["dataset"], ["params"], "settings.get_raw()")
do_not_copy.append("params")
# Copy of format params
if "formatType" in raw:
self.lf()
self.gen(" # Format params")
handled = False
if raw["formatType"] == "csv":
csv_format = raw["formatParams"]
self.gen(" settings.set_csv_format(separator=\"%s\", style=\"%s\", skip_rows_before=%d, header_row=%s, skip_rows_after=%d)"%\
(csv_format.get("separator", None), csv_format["style"], csv_format["skipRowsBeforeHeader"],\
csv_format["parseHeaderRow"], csv_format["skipRowsAfterHeader"]))
self.codegen_object_fields(csv_format, templates["csvFormat"],
["separator", "style", "skipRowsBeforeHeader",
"parseHeaderRow", "skipRowsAfterHeader", "probableNumberOfRecords"],
"settings.get_raw_format_params()")
else:
self.codegen_object_fields_explicit(settings.get_raw(), templates["dataset"], ["formatType", "formatParams"],
"settings.get_raw()")
do_not_copy.extend(["formatType", "formatParams"])
self.lf()
self.gen(" # Schema")
for column in settings.get_raw()["schema"]["columns"]:
self.gen(" settings.add_raw_schema_column(%s)" % column)
if not self.remove_metrics_on_datasets:
self.lf()
self.gen(" # Metrics")
self.codegen_object_fields(settings.get_raw()["metrics"], templates["dataset"]["metrics"], [], "settings.get_raw()[\"metrics\"]")
do_not_copy.append("metrics")
self.lf()
self.gen(" # Other dataset params")
self.codegen_object_fields(settings.get_raw(), templates["dataset"], do_not_copy, "settings.get_raw()")
self.lf()
self.gen(" settings.save()")
self.lf()
def _generate_code_for_recipe(self, recipe, entrypoint_name):
logging.info("Codegen for recipe %s" % entrypoint_name)
self.gen("def %s(project):" % entrypoint_name)
settings = recipe.get_settings()
raw = settings.get_recipe_raw_definition()
templates = recipe.client._perform_json("GET", "/projects/%s/recipes/templates" % recipe.project_key)
template = {"tags":[], "optionalDependencies": False, "redispatchPartitioning": False,
"maxRunningActivities": 0, "neverRecomputeExistingPartitions" : False,
"customFields":{}, "customMeta": {"kv":{}}, "checklists" : {"checklists":[]}}
do_not_copy = [
"projectKey",
"name",
"type",
"versionTag",
"creationTag",
"inputs",
"outputs"
]
self.gen(" # Create the recipe as a blank recipe")
self.gen(" builder = project.new_recipe(\"%s\", \"%s\")" % (raw["type"], recipe.recipe_name))
self.gen(" builder.set_raw_mode()")
self.gen(" recipe = builder.create()")
self.lf()
self.gen(" # Setup the recipe")
self.gen(" settings = recipe.get_settings()" )
self.lf()
self.gen(" # Recipe inputs/outputs")
for (input_role, input_item) in settings._get_flat_inputs():
if len(input_item["deps"]) > 0:
self.gen(" settings.add_input(%s, %s, %s)" % (self.objstr(input_role),
self.objstr(input_item["ref"]),
self.objstr(input_item["deps"])))
else:
self.gen(" settings.add_input(%s, %s)" % (self.objstr(input_role),
self.objstr(input_item["ref"])))
for (output_role, output_item) in settings._get_flat_outputs():
self.gen(" settings.add_output(%s, %s, %s)" % (self.objstr(output_role),
self.objstr(output_item["ref"]),
self.objstr(output_item["appendMode"])))
self.lf()
types_with_obj_payload = ["join", "grouping", "shaker"]
# A bit of "classical cleanup"
# Remove the dirty "map" in Spark read params
if settings.type in types_with_obj_payload and "engineParams" in settings.obj_payload:
rp = settings.obj_payload["engineParams"].get("spark", {}).get("readParams", {})
if rp.get("mode", "?") == "AUTO":
rp["map"] = {}
if raw is not None and "params" in raw and "engineParams" in raw["params"]:
rp = raw["params"]["engineParams"].get("spark", {}).get("readParams", {})
if rp.get("mode", "?") == "AUTO":
rp["map"] = {}
# And some per-type cleanup
def cleanup_grouping():
for grouping_key in settings.obj_payload.get("keys", []):
for item in ["count", "last", "min", "max", "sum", "countDistinct", "stddev", "avg", "concat", "first"]:
if item in grouping_key and grouping_key[item] == False:
del grouping_key[item]
for aggregation in settings.obj_payload.get("values", []):
for item in ["count", "last", "min", "max", "sum", "countDistinct", "stddev", "avg", "concat", "first",
"concatDistinct", "$idx", "sum2", "firstLastNotNull"]:
if item in aggregation and aggregation.get(item, None) == False:
del aggregation[item]
def cleanup_join():
for vi in settings.raw_virtual_inputs:
if not vi["preFilter"]["enabled"]:
del vi["preFilter"]
def cleanup_shaker():
if self.remove_display_width_on_prepare:
if "columnWidthsByName" in settings.obj_payload:
del settings.obj_payload["columnWidthsByName"]
cleanup_by_type = {
"grouping": cleanup_grouping,
"join": cleanup_join,
"shaker": cleanup_shaker
}
if settings.type in cleanup_by_type:
cleanup_by_type[settings.type]()
# Output payload, either globally for code
if isinstance(settings, CodeRecipeSettings):
code = settings.get_code()
self.gen(" # Recipe code")
self.gen(" settings.set_payload(%s)" % self.payloadstr(code))
# per-field for recipes with JSON payload
elif settings.type in types_with_obj_payload:
prefix_by_type = {
"join": "Join details",
"shaker": "Prepare script"
}
self.gen(" # %s" % (prefix_by_type.get(settings.type, "Recipe payload")))
payload = settings.obj_payload
payload_template = templates["payloadsByType"][settings.type]
self.gen(" settings.set_payload(\"{}\")")
self.codegen_object_fields(payload, payload_template, [], "settings.obj_payload")
# Or as string for others
elif len(settings.get_payload()) > 0:
self.gen(" # Recipe payload")
self.gen(" settings.set_payload(%s)" % self.payloadstr(settings.get_payload()))
# Then params
if settings.type in templates["paramsByType"] and "params" in raw:
self.lf()
self.gen(" # Type-specific parameters")
self.codegen_object_fields(raw["params"], templates["paramsByType"][settings.type], [],
"settings.raw_params")
do_not_copy.append("params")
# And finally other recipe fields that are not params
self.lf()
self.gen(" # Other parameters")
self.codegen_object_fields(raw, template, do_not_copy, "settings.get_recipe_raw_definition()")
self.lf()
self.gen(" settings.save()")
self.lf()
# Helpers
def gen(self, code):
self.code += "%s%s\n" % (" " * (4 * self.cur_indent), code)
def lf(self):
self.code += "\n"
def payloadstr(self, payload):
if payload.endswith("\n"):
return "\"\"\"%s\"\"\"" % payload
else:
return "\"\"\"%s\n\"\"\"" % payload
def objstr(self, obj):
return ObjectFieldFormatter(self.cur_indent + 1).format(obj)
def codegen_object_fields_explicit(self, object, template, copy, prefix):
for key in copy:
if not key in object:
continue
self.codegen_object_field(object, key, template, prefix)
def codegen_object_fields(self, object, template, do_not_copy, prefix):
for key in object.keys():
if key in do_not_copy:
continue
self.codegen_object_field(object, key, template, prefix)
def codegen_object_field(self, object, key, template, prefix):
value_for_key = object[key]
default_value_for_key = template.get(key, None)
if default_value_for_key is not None and value_for_key == default_value_for_key:
#print("Skipping value equal to default: %s" % key)
return
else:
#print("Not equal for %s" % key)
#print("Template: %s" % default_value_for_key)
#print("Real: %s" % value_for_key)
self.gen(" %s[\"%s\"] = %s" % ( prefix, key, self.objstr(value_for_key)))
class ObjectFieldFormatter(object):
def __init__(self, base_indent):
self.formatters = {
dict: self.__class__.format_dict,
list: self.__class__.format_list,
}
self.sp = " "
self.base_indent = base_indent
self.no_pretty_level = 0
def format(self, value, depth=0):
base_repr = repr(value)
if len(base_repr) < 25:
# This entire value is very small, don't bother pretty-priting it
return base_repr
elif type(value) in self.formatters:
return self.formatters[type(value)](self, value, depth)
else:
return base_repr
def format_dict(self, value, depth):
indent = self.base_indent + depth
if depth > 2 or self.no_pretty_level > 0:
return repr(value)
else:
items = [
"\n" + self.sp * (indent + 1) + repr(key) + ': ' + self.format(value[key], depth + 1)
for key in value
]
return '{%s}' % (','.join(items) + "\n" + self.sp * indent)
def format_list(self, value, depth):
indent = self.base_indent + depth
if depth > 2 or self.no_pretty_level > 0 or len(value) == 0:
return repr(value)
else:
# Big array, don't pretty-print inner
if len(value) > 3:
self.no_pretty_level += 1
items = [
"\n" + self.sp * (indent + 1) + self.format(item, depth + 1)
for item in value
]
if len(value) > 3:
self.no_pretty_level -= 1
return '[%s]' % (','.join(items) + "\n" + self.sp * indent)