mirror of
https://github.com/User0332/rewards-farmer.git
synced 2026-09-16 01:31:36 +00:00
Merge remote-tracking branch 'upstream/main'
This commit is contained in:
@@ -1,6 +1,5 @@
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*.png
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*.jpg
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*.jpeg
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*.txt
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visual_search.json
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!nouns.txt
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@@ -24,7 +24,9 @@ You should also have an Ollama account created (for the LLM), the `ollama` tool
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You must also provide an image for the script to upload to complete the visual search task. A helper script is included at `src/random_image.py` that will download an image from Wikipedia named `random_image.png` into the project root for you. You may also provide an image of your own, just ensure that the absolute path of the image is placed in the `VISUAL_SEARCH_IMAGE_PATH` constant at the top of `rewards_tasks.py`.
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Activate the virtual environment & install dependencies (you may have to use `python -m poetry` instead of `poetry`).
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You must have Python 3.14+ and Poetry installed.
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You must have Python 3.12+ and Poetry installed.
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If `iex (poetry env activate)` fails with *"Cannot bind argument to parameter 'Command' because it is null"*, `poetry install` did not create an environment. Run `python --version` first: an older Python leaves poetry with nothing to activate, and the message explaining that goes to stderr rather than into `iex`.
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Windows (PowerShell)
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```sh
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Generated
+3
-2
@@ -26,6 +26,7 @@ files = [
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[package.dependencies]
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idna = ">=2.8"
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typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
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[package.extras]
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trio = ["trio (>=0.32.0)"]
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@@ -5247,5 +5248,5 @@ h11 = ">=0.16.0,<1"
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[metadata]
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lock-version = "2.1"
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python-versions = ">=3.14"
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content-hash = "2d00394186a132c3c58f8d396d45224c4ca1fe08bdf78ea74e0bb7167ae8dcda"
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python-versions = ">=3.12"
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content-hash = "fd4eaf67a2a0849a8ce66dfd1ac2be20276da3d8a1454ef9d991214912a51d61"
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+1
-1
@@ -6,7 +6,7 @@ authors = [
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{name = "Carl Furtado",email = "user0332@duck.com"}
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]
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license = "MIT"
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requires-python = ">=3.14"
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requires-python = ">=3.12"
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dependencies = [
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"selenium (>=4.46.0,<5.0.0)",
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"matplotlib (>=3.11.1,<4.0.0)",
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@@ -184,6 +184,18 @@ def main():
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driver.execute_script("arguments[0].click();", elements.get_points_breakdown_button())
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wait_until(lambda: elements.get_sidebar_section() is not None, 30)
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# The section exists before it has content: the panel renders a
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# "Loading..." placeholder inside it first, and that satisfies the
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# presence check above immediately. Waiting only for the section leaves
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# the two selectors below reading an empty panel, so they report FAILED
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# for markup that is fine, on a page that is merely slow. Wait for the
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# content itself. A selector that really is broken still reports FAILED,
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# it just costs the timeout first.
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wait_until(
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lambda: elements.get_points_earned_from_searches_on_points_breakdown() is not None,
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30,
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)
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report.check("get_sidebar_section", elements.get_sidebar_section)
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report.check(
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"get_points_earned_from_searches_on_points_breakdown",
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@@ -311,6 +311,57 @@ class MouseUtils:
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self.driver.execute_script(f"window.moveVisualCursor({point[0]}, {point[1]});")
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def wheel_scroll_element_into_view(self, element: WebElement, max_wheel_events: int = 60):
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"""Scroll the element into the viewport with simulated wheel input.
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Wheel steps of varying size with short pauses, the way a person scrolls,
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instead of a fixed-size burst. The loop is bounded on purpose: an element
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that never fits the viewport completely, for example one taller than the
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window, must not hang the run forever. When the budget runs out the
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caller proceeds with the element as visible as it got.
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"""
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for _ in range(max_wheel_events):
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top, bottom, height = self.driver.execute_script(
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"var r = arguments[0].getBoundingClientRect();"
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"return [r.top, r.bottom, window.innerHeight];",
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element
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)
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if top >= 0 and bottom <= height:
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break
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# Aim the element at the middle of the viewport, one notch at a time.
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distance = (top + bottom) / 2 - height / 2
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step = max(-320, min(320, distance))
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step = int(step * random.uniform(0.6, 1.0))
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if abs(step) < 40:
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step = 40 if distance > 0 else -40
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ActionChains(self.driver).scroll_by_amount(0, step).perform()
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time.sleep(random.uniform(0.04, 0.12))
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def wheel_scroll_to_top(self, max_wheel_events: int = 80):
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"""Scroll back to the top of the page with simulated wheel input.
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Reads the actual scroll position instead of unwinding a counted number
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of steps, because the page height can change while cards update and a
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symmetric unwind then lands in the wrong place.
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"""
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for _ in range(max_wheel_events):
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offset = self.driver.execute_script("return window.scrollY || window.pageYOffset;")
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if offset <= 0:
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break
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step = min(340, int(offset))
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step = max(60, int(step * random.uniform(0.6, 1.0)))
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ActionChains(self.driver).scroll_by_amount(0, -step).perform()
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time.sleep(random.uniform(0.04, 0.12))
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def move_to_element(self, element: WebElement, visualize: bool=True):
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# The pointer is moved to viewport coordinates, so an element below the
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# fold yields a target outside the window and the driver rejects the move
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+35
-21
@@ -7,7 +7,6 @@ from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.common.keys import Keys
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from selenium.webdriver.remote.webelement import WebElement
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from selenium.webdriver.common.action_chains import ActionChains
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from selenium.common.exceptions import StaleElementReferenceException, TimeoutException, NoSuchElementException
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import tab_utils
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import llm_utils
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@@ -58,24 +57,39 @@ class RewardsTaskUtils:
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elem = self.wait_for_element(element_getter, timeout)
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self.move_to_and_click(elem)
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def complete_bing_daily_set(self):
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def complete_bing_daily_set(self, expected_activities: int = 3):
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self.switch_to_earn_page()
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self.wait_for_then_click(self.elements.get_open_daily_set_button)
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daily_set_links = self.wait_for_element(self.elements.get_daily_set_elements)
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# The panel hydrates progressively, so the first non-empty snapshot can
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# hold fewer than 3 activities. wait_for_element returns on the first
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# truthy result, so a 1-element list satisfied it and indexing [1] and
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# [2] then raised IndexError, taking the whole task down. Wait for the
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# full set instead, and if it never fills, work with what is there.
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def full_activity_list():
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activities = self.elements.get_daily_set_elements()
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self.move_to_and_click(daily_set_links[0])
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time.sleep(random.uniform(2, 3))
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self.driver.switch_to.window(self.driver.current_window_handle) # refocus on the main tab
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return activities if len(activities) >= expected_activities else False
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self.move_to_and_click(daily_set_links[1])
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time.sleep(random.uniform(2, 3))
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self.driver.switch_to.window(self.driver.current_window_handle)
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try:
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daily_set_links = self.wait_for_element(full_activity_list, timeout=30)
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except TimeoutException:
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daily_set_links = self.elements.get_daily_set_elements()
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self.move_to_and_click(daily_set_links[2])
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time.sleep(random.uniform(2, 3))
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self.driver.switch_to.window(self.driver.current_window_handle)
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print(f"[WARNING] Daily set panel only shows {len(daily_set_links)} of {expected_activities} activities")
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# Re-read the panel per index: clicking an activity can re-render it and
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# stale the captured references.
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for index in range(len(daily_set_links)):
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activities = self.elements.get_daily_set_elements()
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if index >= len(activities):
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break
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self.move_to_and_click(activities[index])
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time.sleep(random.uniform(2, 3))
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self.driver.switch_to.window(self.driver.current_window_handle) # refocus on the main tab
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self.tab_utils.close_all_other_tabs()
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@@ -140,12 +154,8 @@ class RewardsTaskUtils:
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misc_cards: list[WebElement] = self.wait_for_element(self.elements.get_all_misc_cards)
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scroll_times = 0
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for card in misc_cards:
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while not self.elements.element_is_fully_in_viewport(card): # this should work for top-down iteration
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ActionChains(self.driver).scroll_by_amount(0, 100).perform()
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scroll_times+=1
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self.mouse.wheel_scroll_element_into_view(card)
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if not self.elements.card_is_complete(card) and self.elements.get_card_point_value(card) > 0:
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self.move_to_and_click(card)
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@@ -158,8 +168,7 @@ class RewardsTaskUtils:
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self.tab_utils.close_all_other_tabs()
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for i in range(scroll_times):
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ActionChains(self.driver).scroll_by_amount(0, -100).perform() # scroll back to top of page
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self.mouse.wheel_scroll_to_top()
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def complete_required_searches(self, max_rounds: int = 6):
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# Points per search are not fixed. Some markets award 3 rather than 5,
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@@ -198,9 +207,14 @@ class RewardsTaskUtils:
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def read_search_points(self):
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"""Open the points breakdown, read the Bing search row, close it again."""
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self.switch_to_earn_page()
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self.wait_for_then_click(self.elements.get_points_breakdown_button)
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close_btn = self.wait_for_element(self.elements.get_close_button_on_points_breakdown)
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# 30s rather than the default 10s: this runs after the earlier tasks have
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# navigated away, so the earn page re-renders from scratch first and the
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# breakdown button regularly needs longer than 10s to appear. Timing out
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# here skipped the entire search task while points were still available.
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self.wait_for_then_click(self.elements.get_points_breakdown_button, timeout=30)
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close_btn = self.wait_for_element(self.elements.get_close_button_on_points_breakdown, timeout=15)
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points_earned, max_pts = self.elements.get_points_earned_from_searches_on_points_breakdown()
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Reference in New Issue
Block a user